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A new aromatic polyketide, alternaphenol B2 (1), and four known compounds (2–5) were isolated from the coral-derived fungus Parengyodontium album SCSIO SX7W11. Their structures were elucidated by high-resolution mass spectrometry, 1D and 2D NMR spectroscopy and comparison with reported literatures. Compounds 1 and 2 exhibited selective inhibitory activity against isocitrate dehydrogenase mutant R132H (IDH1m), with IC50 values of 41.9 and 27.7 μM, respectively. Our findings thus provide a fresh incentive for investigation on IDH1m inhibitors as lead compounds for cancer treatment. [ABSTRACT FROM AUTHOR]

Medulloblastoma (MB) stands as one of the prevalent malignant brain tumors among pediatric patients. Despite its prevalence, the intricate interplay between the regulatory program driving malignancy in MB cells and their interactions with the microenvironment remains insufficiently understood. Leveraging the capabilities of single‐cell Assay for Transposase‐Accessible Chromatin sequencing (scATAC‐seq), the chromatin accessibility landscape is unveiled across 59,015 distinct MB cells. This expansive dataset encompasses cells belonging to discrete molecular subgroups, namely SHH, WNT, Group3, and Group4. Within these chromatin accessibility profiles, specific regulatory elements tied to individual subgroups are uncovered, shedding light on the distinct activities of transcription factors (TFs) that likely orchestrate the tumorigenesis process. Moreover, it is found that certain neurotransmitter receptors (NTRs) are subgroup‐specific and can predict MB subgroup classification when combined with their associated transcription factors. Notably, targeting essential NTRs within tumors influences both the in vitro sphere‐forming capability and the in vivo tumorigenic capacity of MB cells. These findings collectively provide fresh insights into comprehending the regulatory networks and cellular dynamics within MBs. Furthermore, the significance of the TF‐NTR regulatory circuits is underscored as prospective biomarkers and viable therapeutic targets. [ABSTRACT FROM AUTHOR]

Combining edge devices with intelligent inspection for transmission lines can fulfill the demand for real‐time defect detection in the field. However, there has been limited research on algorithms suitable for edge devices with low computational power and memory, and the existing research primarily focuses on CPU optimization. To address these issues, this paper proposes a real‐time defect detection method for transmission line endpoints based on YOLO‐GSS (YOLOv8 with Mosaic‐9, G‐GhostNet, S‐FPN, and Spatial Intersection over Union (SIoU) modifications). First, the authors improve the input of the YOLOv8 network using Mosaic‐9 to increase the number of input features in the training phase and enhance algorithm robustness. Next, the authors introduce G‐GhostNet and S‐FPN to enhance the backbone and neck sections while improving inference speed and accuracy. Finally, the authors modify the Complete Intersection over Union loss function of YOLOv8 using SIoU to further improve the detection accuracy. Experimental results demonstrate that compared to the original YOLOv8, the proposed method achieves a 5x increase in inference speed on Nvidia Jetson NX edge devices and a 7.7% improvement in accuracy, meeting the real‐time defect detection requirements for transmission line field inspections. [ABSTRACT FROM AUTHOR]

This paper focuses on the study of the induction heating process of a camshaft in a marine diesel engine. A three-dimensional finite element model for dynamic induction heating is established using the finite element method of multi-physical field coupling, aiming to investigate the temperature uniformity of the cam during this process. Three elements are analyzed in this study: the moving speed, the gap between the induction coil and the workpiece, and the width of the induction coil. These factors allow for an analysis of the temperature distribution in the thickness direction and contour line direction of the cam under various conditions. On this basis, an equivalent parameter about the temperature uniformity in the thickness direction of the cam is proposed to guide the selection of the camshaft induction heating process parameters. [ABSTRACT FROM AUTHOR]

A series of K3YSi2O7:xTm3+,yDy3+ (0 ≤ x ≤ 0.13, 0 ≤ y ≤ 0.13) white emitting phosphors were synthesized by high temperature solid state method. The crystal structure, crystal lattice occupation and luminous properties of the prepared phosphors were characterized and analyzed by XRD, Rietveld refinement, SEM and fluorescence spectra. The results show that two kinds of Y sites exist in the lattice structure, Y3+ (II) has smaller crystal field strength and better symmetry than Y3+ (I). K3YSi2O7:Dy3+ shows the characteristic emission of Dy3+ with emission peaks at 481, 573 and 665 nm. The chromaticity coordinates of K3YSi2O7:Tm3+,Dy3+ phosphors migrate from the blue region to cold white to natural white region with the increase of Dy3+ doping amount. K3YSi2O7:0.09Tm3+, 0.03Dy3+ phosphor can maintain 90% emission of the initial intensity (300 K) at 450 K. Its corresponding chromaticity coordinates (0.3367, 0.3415) are close to the standard white light (0.333, 0.333). The samples K3YSi2O7:Tm3+,Dy3+ have potential application for ultraviolet excited white-LEDs. [ABSTRACT FROM AUTHOR]