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Objective To investigate the causes and treatment of delayed corneal epithelial healing after trans-epithelial photorefractive keratectomy (TPRK). Methods A case of a young female with delayed corneal epithelial healing after TPRK for myopia was retrospectively analyzed. Results Delayed corneal healing is a rare complication in the early stage after TPRK. In this case, it caused symptoms such as pain, blurred vision, glare and tearing. Long-term wearing of contact lenses, meibomian gland dysfunction and postoperative use of drugs that inhibited epithelial growth were risk factors for this patient. After comprehensive treatment with bandage soft contact lenses, sodium hyaluronate, deproteinized calf blood extractive, glucocorticoids, ganciclovir ophthalmic gel and corneal epithelial debridement, corneal epithelium healed completely, but haze grade 1 was present in the delayed healing area on 22nd postoperative day. After follow-up treatment, haze disappeared and cornea returned transparent half a year later. Conclusions Patients with risk factors for delayed corneal epithelial healing after TPRK should undergo a comprehensive preoperative examination. Delayed corneal epithelial healing should be treated early and comprehensively, while alerting to haze and herpes simplex virus infection.

PurposeColon cancer (CC) is a serious disease burden. The prognosis of patients with CC is different, so looking for effective biomarkers to predict prognosis is vitally important. Ferroptosis is a promising therapeutic and diagnosis strategy in CC. However, the role of ferroptosis in prognosis of CC has not been studied. The aim of the study is to build a prognosis model related ferroptosis, and provide clues for further therapy of CC.MethodsThe RNA-seq data were from TCGA (training group) and GEO (testing group). The R language and Perl language were used to process and analyze data. LASSO regression analysis was used to build the prognosis model. ssGSEA was used to compare the immune status between two groups. Immunohistochemistry was used to detect expression of AKR1C1 and CARS1 in colon cancer tissues and adjacent tissues.ResultsThe prognosis model consisted of five ferroptosis related genes (AKR1C1, ALOX12, FDFT1, ATP5MC3, and CARS1). The area under curve (AUC) at 1-, 2-, and 3-year were 0.668, 0.678, and 0.686, respectively. The high- and low-risk patients had significant survival probability and could be clearly distinguished by the PCA and t-SNE analysis. The multivariate cox regression analysis also showed the riskscore is an independent prognosis factor. Importantly, we found that the immune status between high- and low-risk patients were different obviously, such as CD8+T cells. And STING, a new promising immune target, was also correlated to our signature genes statistically significantly.ConclusionOur ferroptosis prognosis signature could predict survival of CC patients to a certain degree. And the crosstalk between ferroptosis and immune, especially STING need further studies.

Abstract Background Exploration of adaptive evolution of organisms in response to environmental change can help to understand the evolutionary history of species and the underlying mechanisms of adaptation to local environments, thus guiding future conservation programmes. Before the introduction of Apis mellifera in China, eastern honey bees (Apis cerana) were the only species used for beekeeping in this region. In the mountains of Changbai, populations of A. cerana are considered a distinct ecotype of the species which formed through the distinct selective pressures in this area over time. Result We performed a measure of 300 wing specimens of eastern honey bees and obtained the geometric morphological variation in the wing of A. cerana in Changbai Mountain. A total of 3,859,573 high-quality SNP loci were yielded via the whole-genome resequencing of 130 individuals in 5 geographic regions. Conclusion Corresponding geometric morphology and population genomics confirmed the particularity of the A. cerana in Changbai Mountain. Genetic differentiation at the subspecies level exists between populations in Changbai Mountain and remaining geographic regions, and a significant reduction in the effective population size and an excessive degree of inbreeding may be responsible for a substantial loss of population genetic diversity. Candidate genes potentially associated with cold environmental adaptations in populations under natural selection were identified, which may represent local adaptations in populations. Our study provided insights into the evolutionary history and adaptation of A. cerana in Changbai Mountain, as well as its conservation.

Preparation of SF/PEDOT film and its property display.

Genetic diseases of blood cells are prime candidates for treatment through ex vivo gene editing of CD34+ hematopoietic stem/progenitor cells (HSPCs), and a variety of technologies have been proposed to treat these disorders. Sickle cell disease (SCD) is a recessive genetic disorder caused by a single-nucleotide polymorphism in the β-globin gene (HBB). Sickle hemoglobin damages erythrocytes, causing vasoocclusion, severe pain, progressive organ damage, and premature death. We optimize design and delivery parameters of a ribonucleoprotein (RNP) complex comprising Cas9 protein and unmodified single guide RNA, together with a single-stranded DNA oligonucleotide donor (ssODN), to enable efficient replacement of the SCD mutation in human HSPCs. Corrected HSPCs from SCD patients produced less sickle hemoglobin RNA and protein and correspondingly increased wild-type hemoglobin when differentiated into erythroblasts. When engrafted into immunocompromised mice, ex vivo treated human HSPCs maintain SCD gene edits throughout 16 weeks at a level likely to have clinical benefit. These results demonstrate that an accessible approach combining Cas9 RNP with an ssODN can mediate efficient HSPC genome editing, enables investigator-led exploration of gene editing reagents in primary hematopoietic stem cells, and suggests a path toward the development of new gene editing treatments for SCD and other hematopoietic diseases.

In the current era of urban construction, smart city management, and digital twinning, three-dimensional reconstruction of urban buildings is particularly important. Traditional methods have limitations in reconstructing complex geometric scenes, while new methods such as Nerf focus on using implicit MLP to represent the geometric space of the model, but suffer from slow training and rendering speeds. To address this issue, this paper proposes the use of 3D Gaussian scatter points for three-dimensional reconstruction of urban buildings, improving training speed and reconstruction quality through optimized and accelerated rendering algorithms. This method demonstrates high efficiency and editability, providing a new solution for urban building reconstruction. [ABSTRACT FROM AUTHOR]

Panoramic images, prized for their capacity to capture a comprehensive 360-degree field of view, find extensive applications across various domains. However, the challenge arises when attempting to seamlessly stitch together images captured by multiple cameras onto a spherical surface, particularly in cases where the cameras lack concentric alignment. To mitigate this misalignment issue, our paper introduces a novel method that integrates depth information into panoramic image stitching, aiming to enhance registration accuracy and seamline detection. The proposed method encompasses two pivotal steps. Firstly, depth information is employed to rectify the image's placement on the panoramic sphere, facilitating a two-dimensional registration process. This initial step targets the elimination of misalignment problems between images while preserving image clarity. Subsequently, depth information is seamlessly integrated into the smoothing term of the Markov random field energy function to guide seamline detection. Leveraging depth information aids in circumventing foreground obstacles and directs the search through spatially smooth areas, thereby reducing the likelihood of misalignment issues. Experimental results substantiate the effectiveness of employing depth information for image correction on the spherical surface, especially in scenarios where cameras approximate concentric alignment. Furthermore, the integration of depth information into the stitching network construction markedly diminishes misalignment, leading to a notable improvement in panoramic image quality. This signifies a crucial advancement in the domain of panoramic image stitching from an academic perspective. [ABSTRACT FROM AUTHOR]