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323 result(s) for "Sun, Donghui"
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Relationship between south Asian summer monsoon intensity and north Indian ocean tropical cyclone activity
The North Indian Ocean (NIO) is one of the areas with the highest frequency of tropical cyclones (TCs) occurrence in the world. This study explores the spatial distribution patterns of North Indian Ocean tropical cyclone (NIOTC) trajectories and examines the relationship between the South Asian summer monsoon index (SASMI) and NIOTC using historical data spanning from 1959 to 2020. The annual average number of NIOTC is 4.92, with the highest frequency of occurrence being in the collection of cyclonic storms (34–47 kt) and severe cyclonic storms (48–63 kt). Based on the divergent and convergent trends in the interannual quantity sequences of SASMI and NIOTC, their relationship is categorized into two phases: positive and negative, each spanning 32 and 29 years, respectively. During the positive phase, the landfall frequency and the average intensity of TCs on the eastern coast of India are generally higher and the frequency of TCs’ trajectories in the northeast Arabian Sea is significantly higher than during the negative phase, with an average difference of 19.13 trajectories within the range of 14°N-24°N and 61°E-73°E. While NIO is more inclined to generate stronger TCs during the positive phase, extremes are more likely to occur during the negative phase.
Visual Environmental Correlates of AI-Predicted Emotional Perception in Campus Indoor Pedestrian Corridors: A Quantitative Study Based on Deep Learning Methods
In the campus planning of severe cold regions, indoor pedestrian corridors have emerged as an important strategy for mitigating harsh weather and maintaining pedestrian network continuity. These enclosed systems provide thermal comfort and physical convenience for faculty and students. However, reduced visual contact with outdoor natural environments may be associated with less favorable affective experiences. Existing research primarily emphasizes functional connectivity and spatial efficiency, with limited quantitative evidence on the visual characteristics of indoor corridors and their relationship with emotional perception. Drawing upon environmental psychology, this study examines the associations between corridor visual characteristics and five AI-predicted affective perception dimensions. Using deep-learning-based computer vision, semantic segmentation, and statistical analysis, environmental features and predicted perception scores were analyzed. A local human validation showed moderate overall agreement between human consensus ratings and AI-predicted scores, supporting their use as exploratory perception proxies. The findings indicate that indoor-corridor-related visual features were negatively associated with predicted beauty scores and positively associated with predicted depression scores, while predicted boringness was positively associated with wall enclosure. Predicted safety and liveliness showed weaker associations with individual visual features. These results provide exploratory evidence for balancing thermal protection, circulation efficiency, and psychological comfort in future campus corridor design.
Characterizing the Supportive Environment of Informal Spaces on Cold Region University Campuses to Enhance Social Interaction Behavior
Research has confirmed the positive impact of social interaction behaviors, including improved mental health, creativity, and stress reduction. Notably, a relationship exists between the spatial characteristics of university campuses and social interaction behaviors. The theories of supportive environment and ecological psychology were used to investigate the quantitative relationship between spatial features of informal spaces and social interactions at a university in a cold region to determine supportive features. Deep learning-based computer vision methods were employed to collect and analyze crowd behavior data, and multiple regression analysis was used to determine the relationship between the features and social interactions. The results indicate that functional features significantly influence social interactions, whereas physical features have a relatively minor impact on social interaction frequency. This finding confirms the efficacy of informal space design at cold-region universities in promoting social interaction behaviors. The deep learning method enables quantitative analysis of the effect of environmental features on social behaviors on cold-region university campuses, providing valuable design suggestions and insights for campuses in other regions and research related to social interaction behaviors.
Identification of Nogo-B as a potential therapeutic target of osteosarcoma via stereochemically selective covalent probes
Osteosarcoma (OS) has been defined as one of the most intricate and formidable malignant bone tumors, and there has been no significant improvement in targeted therapies for OS over the past 50 years. Therefore, it is crucial to identify new potential drug targets for OS. Here, we have developed a label-free activity-based protein profiling (ABPP) using a stereochemically selective probe from an in-house patrimonial library of covalent small molecule compounds to identify an anti-OS target. Phenotypic screening resulted in the discovery of a selective inhibitor ( S , R )- 4v that potently suppresses the proliferation of OS 143B cells with an IC 50 value of 0.28 µM. Subsequent label-free ABPP studies identified neurite outgrowth inhibitor B (Nogo-B) as the primary cellular target for ( S , R )- 4v via a rapid relatively quantitative analysis using its inactive isomer as control. This finding was validated by interaction assays including pull-down, cellular thermal shift assay (CETSA), molecular docking and functional studies. Mechanistic investigations revealed that the apoptotic effect induced by ( S , R )- 4v was mediated through Nogo-B inhibition of the PI3K/AKT-dependent NF-κB pathway. Altogether, this study presents a novel strategy that couples anti-OS compound screening with target identification and successfully identifies Nogo-B as a potential candidate for targeted OS therapy.
Exploring the Influence of Environmental Characteristics on Emotional Perceptions in Metro Station Spaces
With the rapid expansion of urban metro networks, metro stations, as critical public spaces, not only influence transit efficiency and spatial layout optimization but also play a vital role in shaping users’ emotional experiences. This study examines metro station spaces as its primary research subject, exploring the correlation between physical environmental features and emotional perception within the framework of environmental psychology theory. This study adopts an innovative approach by integrating deep learning-based affective computing methods with semantic segmentation techniques in computer vision to systematically evaluate the impact of various physical environmental features and functional spaces on users’ emotional perceptions across multiple dimensions. The study provides empirical evidence for assessing and interpreting the relationship between environmental features and emotional perception, thereby enhancing the reliability of the research. The findings, quantified through deep learning methods, identify key factors influencing various emotional perception scores in metro stations. These insights will assist practitioners in gaining a deeper understanding of how metro station spaces impact users’ emotional experiences and can be applied to early-stage design and later-stage optimization of metro station spaces.
Serious postoperative complications induced by medical glue: three case reports
Background Various types of medical glues/adhesives/topical coagulants’ (referred to as MG hereinafter) have widespread application as surgical adhesives, and have been shown to be safe and effective for a broad range of usage, such as in hemostasis, reinforcement of intestinal anastomoses or sites of potential fluid leakage, adhesion of two surfaces, wound closure, and vascular embolization. However, inappropriate application of MG may sometimes lead to serious complications. Herein, we describe three cases of serious postoperative complications induced by a possible inappropriate use of N-butyl-2-cyanoacrylate MG (NBCA MG). Case presentation Three patients presented with abdominal pain (chronic pain in cases 1 and 2, and acute pain in Case 3), hematochezia (Case 2), and intestinal obstruction (Case 3). All patients had a history of abdominal surgery and intraoperative use of NBCA MG. Abdominal computed tomography and gastroenterological endoscopy revealed foreign bodies (solidified MG in cases 1 and 2) and intestinal obstruction related to a mass of residual non-absorbed MG causing an internal hernia from a dense adhesion (Case 3). All patients underwent exploratory laparotomy, which revealed duodenal perforation, colonic erosion, and an internal hernia, all of which was related to MG use. We undertook removal of the foreign bodies (cases 1 and 2), surgical closure of the site of duodenal erosion (Case 1), partial colectomy (Case 2), and partial enterectomy (Case 3). Conclusion Inappropriate application of MG may induce serious complications. We emphasize the importance of careful evaluation of the indications, dosage, and spraying thickness of MG in clinical practice. Serious complications caused by inappropriate application of MG should be reported to raise awareness in the surgical fraternity.
The complete mitochondrial genome and phylogenetic analysis of Lepidozona coreanica (Reeve, 1847)
In the present study, the complete mitochondrial genome of Lepidozona coreanica was sequenced and described. The complete mitogenome sequence of L. coreanica is 16,572 bp long and contains 13 protein-coding genes (PCGs), 22 transfer RNA (tRNA) genes, and two ribosomal RNA (rRNA) genes. The base composition was AT biased (70.1%). The 13 PCGs of L. coreanica and the other 15 species of Polyplacophora were used for phylogenetic analysis using maximum-likelihood methods. The results showed that L. coreanica, Ischnochiton hakodadensis, and Chaetopleura apiculata are sister groups of the three lineages.
Curcumin suppresses colon cancer cell invasion via AMPK-induced inhibition of NF-κB, uPA activator and MMP9
Curcumin, an active nontoxic ingredient of turmeric, possesses potent anti-inflammatory, antioxidant and anti-cancer properties; however, the molecular mechanisms of curcumin are not fully understood. The transcription factor nuclear factor-κB (NF-κB) is key in cellular processes, and the expression/activation of urokinase-type plasminogen activator (uPA) and matrix metalloproteinase-9 (MMP9) are crucial for cell invasion. The present study investigated the hypothesis that curcumin inhibits colon cancer cell invasion by modulating NF-κB-mediated expression and activation of uPA and MMP9. Human colon cancer SW480 and LoVo cells were treated with various concentrations of curcumin. Curcumin was demonstrated to dose-dependently inhibit the adhesion and proliferation ability of LoVo and SW480 cells using Transwell and MTT assays, respectively. In addition, curcumin activated 5′ AMP-activated protein kinase (AMPK) and suppressed p65 NF-κB phosphorylation, as shown by western blot analysis. Compound C, a potent AMPK inhibitor, abolished curcumin-induced inhibition of NF-κB, uPA and MMP9, suggesting that AMPK activation is responsible for curcumin-mediated NF-κB, uPA and MMP9 inhibition. The binding activity of NF-κB to DNA was examined and western blotting and quantitative polymerase reaction was performed to detect the effect of curcumin on the expression of uPA and MMP9. The present results revealed that curcumin significantly decreased the expression of uPA and MMP9 and NF-κB DNA binding activity. Furthermore, curcumin decreased the level of the p65 subunit of NF-κB binding to the promoter of the gene encoding uPA and MMP9, which suppressed transcriptional activation of uPA and MMP9. Overall, the present data suggest that curcumin inhibits colon cancer cell invasion via AMPK activation and subsequent inhibition of p65 NF-κB, uPA and MMP9. The therapeutic potential of curcumin for colon cancer metastasis required additional study.
Mycoviral gene integration converts a plant pathogenic fungus into a biocontrol agent
Mycovirus-infected fungi can suffer from poor growth, attenuated pigmentation, and virulence. However, the molecular mechanisms of how mycoviruses confer these symptoms remain poorly understood. Here, we report a mycovirus Stemphylium lycopersici alternavirus 1 (SlAV1) isolated from a necrotrophic plant pathogen Stemphylium lycopersici that causes altered colony pigmentation and hypovirulence by specifically interfering host biosynthesis of Altersolanol A, a polyketide phytotoxin. SlAV1 significantly down-regulates a fungal polyketide synthase (PKS1), the core enzyme of Altersolanol A biosynthesis. PKS1 deletion mutants do not accumulate Altersolanol A and lose pathogenicity to tomato and lettuce. Transgenic expression of SlAV1 open-reading frame 3 (ORF3) in S. lycopersici inhibits fungal PKS1 expression and Altersolanol A accumulation, leading to symptoms like SlAV1-infected fungal strains. Multiple plant species sprayed with mycelial suspension of S. lycopersici or S. vesicarium strains integrating and expressing ORF3 display enhanced resistance against virulent strains, converting the pathogenic fungi into biocontrol agents. Hence, our study not only proves inhibiting a key enzyme of host phytotoxin biosynthesis as a molecular mechanism underlying SlAV1-mediated hypovirulence of Stemphylium spp., but also demonstrates the potential of mycovirus-gene integrated fungi as a potential biocontrol agent to protect plants from fungal diseases.