Data-driven polarimetric imaging: a review

This study reviews the recent advances in data-driven polarimetric imaging technologies based on a wide range of practical applications.The widespread international research and activity in polarimetric imaging techniques demonstrate their broad applications and interest.Polarization information is increasingly incorporated into convolutional neural networks(CNN)as a supplemental feature of objects to improve performance in computer vision task applications.Polarimetric imaging and deep learning can extract abundant information to address various challenges.Therefore,this article briefly reviews recent developments in data-driven polarimetric imaging,including polarimetric descattering,3D imaging,reflection removal,target detection,and biomedical imaging.Furthermore,we synthetically analyze the input,datasets,and loss functions and list the existing datasets and loss functions with an evaluation of their advantages and disadvantages.We also highlight the significance of data-driven polarimetric imaging in future research and development.

Divergent total synthesis of marine meroterpenoids(+)-dysidavarones A–C

Here,we report a concise and divergent enantioselective total synthesis of marine sesquiterpene quinone meroterpenoids(+)-dysidavarones A–C(1–3)using predysidavarone 6 as a key common intermediate.The highly strained and bridged eight-membered carbocycle of predysidavarone 6 was constructed by a one-pot intermolecular alkylation and intramolecular arylation of Wieland–Miescher ketone derivative 11 and benzyl bromide 12.The total synthesis of(+)-dysidavarones A–C(1–3)was achieved from predysidavarone 6 in a divergent manner by a late-stage introduction of the ethoxy group,which reveals the possible source of the ethoxy group within(+)-dysidavarones A–C(1–3)and provides a late-stage modifiable route for the synthesis of dysidavarone analogs for further anti-cancer activity evaluation.

多级综合模型在医学实践性教学效果评价中的应用

目的运用多级综合模型对医学实践性教学效果进行评价。方法抽取2017至2019年在南京医科大学附属淮安第一医院实习的医学本科生100名、医学教育专家20名、教师30名,进行问卷调查。采用自拟实践性教学效果调查问卷(包括一级条目3个、二级条目8个、三级条目31个),运用多级综合模型对数据进行处理与分析。结果经多级综合模型处理得到的综合评判数据(0.1764,0.5123,0.2525,0.0588)表明医学实践性教学效果好占17.64%,较好占51.23%,一般占25.25%,较差占5.88%。根据最大隶属度原则,医学实践性教学效果最终综合评价结果为"较好"。结论采用多级综合模型对医学实践性教学效果进行评价具有科学性、合理性;综合评判时将定性的指标进行量化处理可明确多级指标体系中各指标匹配的数值;评价结果直观,易于分析,为针对性提高医学实践教学效果提供判别依据。

Autophagy enhanced by curcumin ameliorates inflammation in atherogenesis via the TFEB-P300-BRD4 axis

Disturbance of macrophage-associated lipid metabolism plays a key role in atherosclerosis.Crosstalk between autophagy deficiency and inflammation response in foam cells(FCs) through epigenetic regulation is still poorly understood. Here, we demonstrate that in macrophages, oxidized lowdensity lipoprotein(ox-LDL) leads to abnormal crosstalk between autophagy and inflammation,thereby causing aberrant lipid metabolism mediated through a dysfunctional transcription factor EB (TFEB)-P300-bromodomain-containing protein 4(BRD4) axis. ox-LDL led to macrophage autophagy deficiency along with TFEB cytoplasmic accumulation and increased reactive oxygen species generation. This activated P300 promoted BRD4 binding on the promoter regions of inflammatory genes, consequently contributing to inflammation with atherogenesis. Particularly, ox-LDL activated BRD4-dependent super-enhancer associated with liquid-liquid phase separation(LLPS) on the regulatory regions of inflammatory genes. Curcumin(Cur) prominently restored FCs autophagy by promoting TFEB nuclear translocation, optimizing lipid catabolism, and reducing inflammation. The consequences of P300 and BRD4 on super-enhancer formation and inflammatory response in FCs could be prevented by Cur. Furthermore, the anti-atherogenesis effect of Cur was inhibited by macrophage-specific Brd4 overexpression or Tfeb knock-out in Apoe knock-out mice via bone marrow transplantation. The findings identify a novel TFEB-P300-BRD4 axis and establish a new epigenetic paradigm by which Cur regulates autophagy, inhibits inflammation, and decreases lipid content.

Melatonin antagonizes ovarian aging via YTHDF2-MAPK-NF-κB pathway

Cellular senescence is closely associated with age-related diseases.Ovarian aging,a special type of organ senescence,is the pathophysiological foundation of the diseases of the reproductive system.It is characterized by the loss of integrity of the surface epithelium and a gradual decrease in the number of human ovarian surface epithelial cells(HOSEpiCs).To contribute to the research on delaying ovarian aging,we aimed to investigate the novel epigenetic mechanism of melatonin in protecting HOSEpiCs.We discovered that melatonin has antagonistic effects against the oncogene-induced senescence(OIS)of HOSEpiCs.Mechanistically,the oncogene Ras decreased the expression of YTHDF2,which is the reader of RNA-m6A,by stimulating the generation of reactive oxygen species(ROS).Moreover,we found that the suppression of YTHDF2 increased the expression of MAP2K4 and MAP4K4 by enhancing the stability of the transcription of their mRNAs,thereby upregulating the expression of the senescence-associated secretory phenotype(SASP)through the activation of the MAP2K4 and MAP4K4-dependent nuclear factor-κB(NF-κB)signaling pathways.We further determined that melatonin has antagonistic effects against the OIS of HOSEpiCs by inhibiting the ROS-YTHDF2-MAPK-NF-κB pathway.These findings provide key insights into the potential avenues for preventing and treating ovarian aging.

Lensless imaging through thin scattering layers under broadband illumination

Lensless scattering imaging is a prospective approach to microscopy in which a high-resolution image of an object is reconstructed from one or more measured speckle patterns, thus providing a solution in situations where the use of imaging optics is not possible. However, current lensless scattering imaging methods are typically limited by the need for a light source with a narrowband spectrum. Here, we propose two general approaches that enable single-shot lensless scattering imaging under broadband illumination in both noninvasive [without point spread function(PSF) calibration] and invasive(with PSF calibration) modes. The first noninvasive approach is based on a numerical refinement of the broadband pattern in the cepstrum incorporated with a modified phase retrieval strategy. The latter invasive approach is correlation inspired and generalized within a computational optimization framework. Both approaches are experimentally verified using visible radiation with a full-width-at-half-maximum bandwidth as wide as 280 nm(Δλ∕λ = 44.8%) and a speckle contrast ratio as low as 0.0823. Because of its generality and ease of implementation, we expect this method to find widespread applications in ultrafast science,passive sensing, and biomedical applications.