Numerical simulation and experimental validation of light modulation by laser-ablated ripples on fused silica surfaces.

Laser ablation is a commonly employed technique to enhance the damage resistance of fused silica optics due to its non-contact nature and the absence of polishing aids. However, during the ablation process, laser-induced ripples are inevitably formed, posing significant risks by potentially lowering the laser-induced damage threshold (LIDT). This study investigates the impact of these laser-ablated ripples on damage resistance using numerical models that account for electromagnetic fields, heat transfer, and solid mechanics.

Decoding Functional and Developmental Trajectories of Tissue-Resident Uterine Dendritic Cells Through Integrative Omics.

Uterine dendritic cells (uDCs) are critical for endometrial function, yet their origin, molecular characteristics, and specific roles during the pre- and post-implantation periods in the human endometrium remain largely unknown. The complexity of the endometrial environment makes defining the contributions of uDCs subtypes challenging. We hypothesize that distinct uDC subsets carry out specialized functions, and that resident progenitor DCs generate these subtypes.

Dual-Response Visual Fluorescent Probes for the Determination of Vanadate and Morphology over a Wide pH Range.

Vanadate has become an important indicator for environmental testing due to its high toxicity, mobility, and difficulty in degradation. In addition, depending on its dynamic aggregation, analyzing vanadate is not a single content test; it needs further morphological analysis. Previous research has tended to construct a single functional platform with complicated procedures and expensive equipment, making it difficult to obtain a comprehensive picture of vanadate in a short time.

Pan-Cancer Single-Cell Transcriptomic Analysis Reveals Divergent Expression of Embryonic Proangiogenesis Gene Modules in Tumorigenesis.

Background: Angiogenesis is indispensable for the sustained survival and progression of both embryonic development and tumorigenesis. This intricate process is tightly regulated by a multitude of pro-angiogenic genes. The presence of gene modules facilitating angiogenesis has been substantiated in both embryonic development and the context of tumor proliferation.

Data-based systematic error extraction and compensation methods based on wavelet transform in ultra-precision optical polishing.

Sub-aperture polishing is a key technique for fabricating ultra-precision optics. However, the existence of the polishing errors that are difficult to be compensated by physical modeling seriously affects the manufacturing accuracy and efficiency of optical components. To address this problem, a data-based systematic error extraction and compensation (DSEC) method was proposed to enhance the polishing accuracy on optics.

Evolution mechanism of subsurface damage during laser machining process of fused silica.

The machining-induced subsurface damage (SSD) on fused silica optics would incur damage when irradiated by intense lasers, which severely restricts the service life of fused silica optics. The high absorption of fused silica to 10.6 µm makes it possible to utilize pulsed CO laser to remove and characterize SSD by layer-by-layer ablation, which improves its laser-induced damage threshold.

The CD8 T cell tolerance checkpoint triggers a distinct differentiation state defined by protein translation defects.

Peripheral CD8 T cell tolerance is a checkpoint in both autoimmune disease and anti-cancer immunity. Despite its importance, the relationship between tolerance-induced states and other CD8 T cell differentiation states remains unclear. Using flow cytometric phenotyping, single-cell RNA sequencing (scRNA-seq), and chromatin accessibility profiling, we demonstrated that in vivo peripheral tolerance to a self-antigen triggered a fundamentally distinct differentiation state separate from exhaustion, memory, and functional effector cells but analogous to cells defectively primed against tumors.

Approaches for studying human macrophages.

Macrophages are vital tissue components involved in organogenesis, maintaining homeostasis, and responses to disease. Mouse models have significantly improved our understanding of macrophages. Further investigations into the characteristics and development of human macrophages are crucial, considering the substantial anatomical and physiological distinctions between mice and humans.

An immune cell map of human lung adenocarcinoma development reveals an anti-tumoral role of the Tfh-dependent tertiary lymphoid structure.

The immune responses during the initiation and invasion stages of human lung adenocarcinoma (LUAD) development are largely unknown. Here, we generated a single-cell RNA sequencing map to decipher the immune dynamics during human LUAD development. We found that T follicular helper (Tfh)-like cells, germinal center B cells, and dysfunctional CD8 T cells increase during tumor initiation/invasion and form a tertiary lymphoid structure (TLS) inside the tumor.

Modeling T cell temporal response to cancer immunotherapy rationalizes development of combinatorial treatment protocols.

Successful immunotherapy relies on triggering complex responses involving T cell dynamics in tumors and the periphery. Characterizing these responses remains challenging using static human single-cell atlases or mouse models. To address this, we developed a framework for in vivo tracking of tumor-specific CD8 T cells over time and at single-cell resolution.

Plug-and-play positioning error compensation model for ripple suppressing in industrial robot polishing.

The industrial robot-based polisher has wide applications in the field of optical manufacturing due to the advantages of low cost, high degrees of freedom, and high dynamic performance. However, the large positioning error of the industrial robot can lead to surface ripple and seriously restrict the system performance, but this error can only be inefficiently compensated for by measurement before each processing at present. To address this problem, we discovered the period-phase evolution law of the positioning error and established a double sine function compensation model.

DDX24 Mutation Alters NPM1 Phase Behavior and Disrupts Nucleolar Homeostasis in Vascular Malformations.

Point mutations in the DEAD-box helicase DDX24 are associated with vascular malformations such as multi-organ venous and lymphatic defect (MOVLD) syndrome and Budd-Chiari syndrome, with the pathogenesis largely uncharacterized. DDX24 is mainly located in the nucleolus, where nucleophosmin (NPM1) regulates nucleolar homeostasis via liquid-liquid phase separation (LLPS). However, the connection between DDX24 and NPM1 in vascular malformation remains elusive.

An immune cell atlas reveals the dynamics of human macrophage specification during prenatal development.

Macrophages are heterogeneous and play critical roles in development and disease, but their diversity, function, and specification remain inadequately understood during human development. We generated a single-cell RNA sequencing map of the dynamics of human macrophage specification from PCW 4-26 across 19 tissues. We identified a microglia-like population and a proangiogenic population in 15 macrophage subtypes.

Neural plate progenitors give rise to both anterior and posterior pituitary cells.

The pituitary is the master neuroendocrine gland, which regulates body homeostasis. It consists of the anterior pituitary/adenohypophysis harboring hormones producing cells and the posterior pituitary/neurohypophysis, which relays the passage of hormones from the brain to the periphery. It is accepted that the adenohypophysis originates from the oral ectoderm (Rathke's pouch), whereas the neural ectoderm contributes to the neurohypophysis.

Modeling and in-depth analysis of the mid-spatial-frequency error influenced by actual contact pressure distribution in sub-aperture polishing.

In ultra-precision optical processing, the sub-aperture polishing is prone to produce a mid-spatial-frequency (MSF) error. However, the generation mechanism of the MSF error is still not fully clarified, which seriously affects the further improvement of optical component performance. In this paper, it is proved that the actual contact pressure distribution between the workpiece and tool is a crucial source which affects the MSF error characteristics.

Hsa_circ_0088036 promotes nonsmall cell lung cancer progression by regulating miR-1343-3p/Bcl-3 axis through TGFβ/Smad3/EMT signaling.

Nonsmall cell lung cancer (NSCLC) is the leading cause of cancer-related mortality worldwide. Circular RNAs (circRNAs) have been the focus of numerous studies, and some circRNAs have been linked to the development of multiple malignant tumors, including NSCLC. Nevertheless, the functional role and mechanisms of circRNAs in NSCLC remain largely unknown.

Fourier convolution-parallel neural network framework with library matching for multi-tool processing decision-making in optical fabrication.

Intelligent manufacturing of ultra-precision optical surfaces is urgently desired but rather difficult to achieve due to the complex physical interactions involved. The development of data-oriented neural networks provides a new pathway, but existing networks cannot be adapted for optical fabrication with a high number of feature dimensions and a small specific dataset. In this Letter, for the first time to the best of our knowledge, a novel Fourier convolution-parallel neural network (FCPNN) framework with library matching was proposed to realize multi-tool processing decision-making, including basically all combination processing parameters (tool size and material, slurry type and removal rate).

Expression of a Siglec-Fc Protein and Its Characterization.

The emerging importance of the Siglec-sialic acid axis in human disease, especially cancer, has necessitated the identification of ligands for Siglecs. Recombinant Siglec-Fc fusion proteins have been widely used as ligand detectors, and also as sialic acid-targeted antibody-like proteins for cancer treatment. However, the heterogenetic properties of the Siglec-Fc fusion proteins prepared from various expression systems have not been fully elucidated.

Statistical perception of the chaotic fabrication error and the self-adaptive processing decision in ultra-precision optical polishing.

Subaperture polishing is a key technique for fabricating ultra-precision optics. However, the error source complexity in the polishing process creates large fabrication errors with chaotic characteristics that are difficult to predict using physical modelling. In this study, we first proved that the chaotic error is statistically predictable and developed a statistical chaotic-error perception (SCP) model.

Design and Synthesis of Benzoheterodiazole-based Fluorescent Compounds for Emitting Applications.

Benzoheterodiazole-based fluorophores with aggregation-induced emission (AIE) properties are synthesized and their photophysical properties in different states (solution, film, and powder) are investigated. These compounds present excellent thermal stability, and the decomposition temperature is above 300 °C. Among these compounds, the fluorophores with triphenylamine (TPA) group present better fluorescent emissions in solutions as well as in aggregated states, and the highest solution fluorescent efficiency is up to 75.