Identification and Expression Patterns of Critical Genes Related to Coat Color in Cashmere Goats.

Research on cashmere goat coat color is crucial for optimizing cashmere goat breeds and increasing their economic value. To identify key genes associated with the formation of cashmere goat coat color and to provide molecular markers for breeding purposes, three healthy, 3-year-old does with similar weights and distinct coat colors-white, black, and light brown-were selected. Skin samples were collected for transcriptome sequencing, and bioinformatics methods were applied to screen for differentially expressed genes (DEGs) in the skin of cashmere goats with varying coat colors.

SpaGraphCCI: Spatial cell-cell communication inference through GAT-based co-convolutional feature integration.

Spatially resolved transcriptomics technologies potentially provide the extra spatial position information and tissue image to better infer spatial cell-cell interactions (CCIs) in processes such as tissue homeostasis, development, and disease progression. However, methods for effectively integrating spatial multimodal data to infer CCIs are still lacking. Here, the authors propose a deep learning method for integrating features through co-convolution, called SpaGraphCCI, to effectively integrate data from different modalities of SRT by projecting gene expression and image feature into a low-dimensional space.

Multi-scale asynchronous correlation and 2D convolutional autoencoder for adolescent health risk prediction with limited fMRI data.

Introduction: Adolescence is a fundamental period of transformation, encompassing extensive physical, psychological, and behavioral changes. Effective health risk assessment during this stage is crucial for timely intervention, yet traditional methodologies often fail to accurately predict mental and behavioral health risks due to the intricacy of neural dynamics and the scarcity of quality-annotated fMRI datasets.

Methods: This study introduces an innovative deep learning-based framework for health risk assessment in adolescents by employing a combination of a two-dimensional convolutional autoencoder (2DCNN-AE) with multi-sequence learning and multi-scale asynchronous correlation information extraction techniques.

Immunoactivation by Cutaneous Blue Light Irradiation Inhibits Remote Tumor Growth and Metastasis.

An improved innate immunity will respond quickly to pathogens and initiate efficient adaptive immune responses. However, up to now, there have been limited clinical ways for effective and rapid consolidation of innate immunity. Here, we report that cutaneous irradiation with blue light of 450 nm rapidly stimulates the innate immunity through cell endogenous reactive oxygen species (ROS) regulation in a noninvasive way.

Lab on skin: real-time metabolite monitoring with polyphenol film based subdermal wearable patches.

The advent of digital technologies has spurred the development of wearable sensing devices marking a significant shift in obtaining real-time physiological information. The principal objective is to transition from blood-centric monitoring to minimally invasive modalities, which will enable movement from specialised settings to more accessible environments such as the practices of general practitioners or even home settings. While subcutaneously implanted continuous monitoring devices have demonstrated this transition, detection of analytes from sample matrices like skin interstitial fluid (ISF), is a frontier that offers attractive minimally invasive routes for detection of biomarkers.

Blue light promotes vitamin C-mediated ferroptosis of melanoma through specifically upregulating transporter SVCT2 and generating Fe.

Vitamin C (VC)-based cancer therapy is a promising therapeutic approach for a variety of cancers due to its profound effects on redox reactions and metabolic pathways. However, high administration dosage of VC for necessary therapeutic efficacy for cancers increases the risk of overt side effects and limits its clinical use. Here, we show cutaneous blue light irradiation can specifically upregulate the sodium-dependent vitamin C transporter 2 (SVCT2) of the tumor and increase effectively the VC concentration at the tumor sites by an overall low dosage administration.

Predictive Value of Ablative Margin Assessment After Microwave Ablation for Local Tumor Progression in Medium and Large Hepatocellular Carcinoma: Computed Tomography-Computed Tomography Image Fusion Method Versus Side-by-Side Method.

Objective: This study aimed to explore the feasibility and predictive value for local tumor progression (LTP) of the computed tomography (CT)-CT image fusion method versus side-by-side method to assess ablative margin (AM) in hepatocellular carcinoma ≥3 cm in diameter.

Materials And Methods: We selected patients with hepatocellular carcinoma ≥3 cm in diameter who underwent microwave ablation and had complete tumor ablation. We used the CT-CT image fusion method and side-by-side method to assess AM separately and divided the lesions into 3 groups: group I, minimum ablative margin (min-AM) <0 mm (the ablation zone did not fully cover the tumor); group II, 0 mm ≤ min-AM <5 mm; and group III, min-AM ≥5 mm.

Study on the Mechanical Properties and Durability of Recycled Aggregate Concrete under the Internal Curing Condition.

Poor mechanical properties and durability of recycled aggregate concrete (RAC) hinder its application in the construction field. In this study, pre-wetted recycled coarse aggregate was used as the internal curing material for prepared RAC with low water-to-binder ratio (W/B), aiming to improve the mechanical properties and durability. The results show that the workability decreases with increasing contents of pre-wetted recycled coarse aggregate.