15 research outputs found
Walt Whitman in China
No full textExplores the evolution of Walt Whitman in China beginning with the May Fourth Student Movement in 1919 that generated modern Chinese literature ( New Literature ), and examines the Chinese translators of Whitman who influenced it; describes the work of Tian Han, Guo Moruo, Xu Zhimo, Mu Mutian, Chu Tunan, Ai Qing, Xu Chi, and Zhao Luorui, among others
Using Foreign Data Wrapper in PostgreSQL to Expose Point Clouds on File System
No full textThis research is aimed to answer the main research question: to what extent we can use LiDAR point clouds directly in the PostgreSQL by means of FDW, and thus a FDW supporting the Point Cloud Data Management System is implemented. Then, the range and performance of its functionality are evaluated. The results shows this FDW solution is feasible while the querying time is relevant to the number of returned points. The benefit and problem of this FDW are analyzed.Geomatic
Xijiao Dihuang Decoction for Sepsis-Induced Acute Lung Injury: Network Pharmacology and Molecular Dynamics Insights
No full textJiaqi Xu,1– 3,* Conghan Jiao,2– 4,* Haiwei Du,2,5 Xiaojing Guo,1– 3 Mutian Wang,1– 3 Yuening Ma,1,2 Yanzhong Yin,1,2 Min Liu,1,2 Rongjiang Shao2,5 1Department of Infectious Diseases, the First Teaching Hospital of Tianjin University of TCM, Tianjin, People’s Republic of China; 2National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, People’s Republic of China; 3Graduate School, Tianjin University of Traditional Chinese Medicine, Tianjin, People’s Republic of China; 4Department of Hematology, the First Teaching Hospital of Tianjin University of TCM, Tianjin, People’s Republic of China; 5Department of General Surgery, the First Teaching Hospital of Tianjin University of TCM, Tianjin, People’s Republic of China*These authors contributed equally to this workCorrespondence: Rongjiang Shao, Department of General surgery, The First Teaching Hospital of Tianjin University of TCM, No. 88, Changling Road, Xiqing District, Tianjin, 300381, People’s Republic of China, Tel +86 13920987128, Email [email protected] Min Liu, Department of Infectious Diseases, The First Teaching Hospital of Tianjin University of TCM, No. 88, Changling Road, Xiqing District, Tianjin, 300381, People’s Republic of China, Tel +86 13132296378, Email [email protected]: This study investigates the therapeutic mechanisms of Xijiao Dihuang Decoction (XJDHD) in sepsis-induced acute lung injury (SALI) through an integrated approach, including network pharmacology, molecular docking, molecular dynamics simulations, and in vitro experiments.Methods: Network pharmacology identified active ingredients and targets in Xijiao Dihuang Decoction. Molecular docking and dynamics simulations evaluated binding affinity and stability with key targets. In vitro experiments on LPS-stimulated A549 cells substantiated Xijiao Dihuang Decoction’s anti-inflammatory, antioxidant, and anti-apoptotic effects.Results: Network pharmacology identified 20 active components among 182 Sepsis-Induced Acute Lung Injury targets. Molecular docking revealed strong binding affinity (binding energies ≤ − 5.0 kcal/mol) for β-sitosterol with AKT1 and TNF. Molecular dynamics confirmed the complex stability. In vitro experiments demonstrated that Xijiao Dihuang Decoction significantly reduced inflammatory cytokines IL-6, TNF-α, and IL-1β (p< 0.001), increased SOD and CAT mRNA (p< 0.05), downregulated MyD88 mRNA (p< 0.05), and modulated apoptosis-related proteins (Bax, Bcl-2, Cleaved-Caspase-3; p< 0.05). The modulation of the PI3K/Akt pathway was confirmed by p-PI3K and p-Akt expression (p< 0.05).Conclusion: Xijiao Dihuang Decoction exhibits therapeutic efficacy in treating Sepsis-Induced Acute Lung Injury through its anti-inflammatory, antioxidant, and anti-apoptotic effects, and by modulating the PI3K/Akt pathway. This study provides experimental evidence for Xijiao Dihuang Decoction’s mechanisms, highlighting its potential. However, additional in vivo and clinical investigations are required to validate its efficacy.Keywords: Xijiao Dihuang Decoction, sepsis-induced acute lung injury, network pharmacology, mechanism of action, PI3K/Akt signaling pathway, anti-inflammatory, antioxidant, anti-apoptoti
Leveraging Big Data Analytics to Assess the Influence of Online Consumer Sentiment on Chery Omoda 5 Sales in Malaysia
No full textWith the rapid development of big-data technologies, the influence of online consumer sentiment on purchasing decisions has become increasingly significant, particularly within the automotive industry. This study systematically investigates the impact of negative online opinions on the sales of the Chery Omoda 5 in the Malaysian market by leveraging advanced data-mining, sentiment-analysis, and market-trend analysis techniques. Sales records and large-scale online content—including social-media posts, news articles, forums, and blogs—were collected from January 2024 to June 2024. Natural-language processing (VADER) was applied to quantify negative sentiment, and multiple linear-regression models—controlling for seasonality (month fixed effects) and macroeconomic indicators (fuel price index, consumer-price index)—were estimated to examine the relationship between sentiment fluctuations and monthly sales trends. The results demonstrate a strong negative correlation (r = −0.924) between the frequency of negative online mentions and Omoda 5 sales; peaks in negative sentiment, often triggered by product recalls or intensified media coverage, were temporally aligned with sharp declines in sales volume. These findings provide empirical evidence of the immediate and measurable adverse effects of online negativity on consumer purchasing behavior. The study concludes with recommendations for automotive manufacturers, urging marketing managers to integrate real-time social-listening dashboards into sales-forecasting workflows so that emerging reputation risks can be identified and addressed before they erode market performance, thereby underscoring the value of proactive crisis-communication strategies for protecting brand equity in an increasingly digital marketplace
Indoor localisation based on point clouds of the ceiling: Syntheses Project 2019
No full textIndoor localisation is a highly relevant topic. It can be used for many applications,such as indoor navigation. Current indoor localisation approaches all have certaindownsides. In this report, the results of a completely new indoor localisation approach are described. The aim of this approach is to perform indoor localisation on room level based on a fingerprint solution using point clouds of the ceilings. The ceiling is used, because the ceiling does generally not change much and therefore it is easier to keep an up-to-date database. This research considers both the use of Dense Image Matching (DIM) input from pictures or videos made with a mobile phone and Light Detection And Ranging (LiDAR) input.Geomatic
Surface Ti3+/ Ti4+ Redox Shuttle Enhancing Photocatalytic H2 Production in Ultrathin TiO2 Nanosheets/CdSe Quantum Dots
No full textDSU-Net: Dynamic Snake U-Net for 2-D Seismic First Break Picking
No full textIn seismic exploration, identifying the first break (FB) is a critical
component in establishing subsurface velocity models. Various automatic picking
techniques based on deep neural networks have been developed to expedite this
procedure. The most popular class is using semantic segmentation networks to
pick on a shot gather called 2-dimensional (2-D) picking. Generally, 2-D
segmentation-based picking methods input an image of a shot gather, and output
a binary segmentation map, in which the maximum of each column is the location
of FB. However, current designed segmentation networks is difficult to ensure
the horizontal continuity of the segmentation. Additionally, FB jumps also
exist in some areas, and it is not easy for current networks to detect such
jumps. Therefore, it is important to pick as much as possible and ensure
horizontal continuity. To alleviate this problem, we propose a novel semantic
segmentation network for the 2-D seismic FB picking task, where we introduce
the dynamic snake convolution into U-Net and call the new segmentation network
dynamic-snake U-Net (DSU-Net). Specifically, we develop original dynamic-snake
convolution (DSConv) in CV and propose a novel DSConv module, which can extract
the horizontal continuous feature in the shallow feature of the shot gather.
Many experiments have shown that DSU-Net demonstrates higher accuracy and
robustness than the other 2-D segmentation-based models, achieving
state-of-the-art (SOTA) performance in 2-D seismic field surveys. Particularly,
it can effectively detect FB jumps and better ensure the horizontal continuity
of FB. In addition, the ablation experiment and the anti-noise experiment,
respectively, verify the optimal structure of the DSConv module and the
robustness of the picking
Research trends on lactate in cancer: a bibliometric analysis and comprehensive review (2015–2024)
No full textObjectiveA bibliometric approach was employed to systematically analyze the trends and potential future developments in lactic acid-related cancer research over the past 10 years.MethodWe conducted a bibliometric analysis of literature on lactic acid in cancer research from 2015 to 2024, using data collected from the Web of Science database. A bibliometric analysis was conducted to identify general research directions and trends in current publications, as well as to determine the most prolific and influential authors, institutions, countries, and keywords in lactate and cancer research. The data were collected and analyzed using VOSviewer (Leiden University, Leiden, Netherlands), Microsoft Excel (Microsoft, Redmond, Washington, USA), CiteSpace, and Biblioshiny, with a focus on analysis and visualization.ResultsA total of 5,999 publications were analyzed, focusing on various aspects of the relevant literature, including year of publication, country, institution, author, journal, category, keywords, and research frontiers. The analysis of these publications reveals a general upward trend in publication volume from 2015 to 2024, with China and University of California System emerging as the most prolific country and institution, respectively. SCIENTIFIC REPORTS is the most frequently published journal, while Oncotarget is the most cited journal in the field. Zhang Y. was the most prolific author, publishing 100 documents over 10 years, with the highest citation count and an H-index of 28.Keyword analysis revealed five key themes in lactate-cancer research (2013–2023): Metabolic-epigenetic crosstalk, Tumor immunosuppressive microenvironment, Innovative therapies/drug delivery, Lactate-mediated signaling, Metabolic-targeted treatment strategies. Current research emphasizes the application of lactic acid metabolism in metabolic intervention, immune microenvironment regulation, combination of new therapeutic techniques and applications in specific cancer types.ConclusionResearch on lactic acid in cancer is growing rapidly, with China at the forefront of this field. Research into lactic acid’s role in immune cell regulation, metabolism, and signaling pathways, combined with multi-modal imaging, big data analytics, and innovative drug delivery, is set to become a key trend in future studies, which promises new directions for identifying therapeutic targets, biomarkers, and developing advanced treatments
Boosting Reactive Oxygen Species Generation by Regulating Excitonic Effects in Porphyrinic Covalent Organic Frameworks
No full textExcitonic
effects play a crucial role in determining the photocatalytic
performance of polymer semiconductors, which has long been ignored.
Herein, metal organic frameworks (MOFs, specially NH2-MIL-125)
modifying porphyrinic covalent organic frameworks (COFs, specially
DhaTph) have been proven to be a suitable model to regulate excitonic
effects. The photoluminescence measurements prove that DhaTph presents
strong excitonic effects, which can generate 1O2 through an energy transfer process. Remarkably, the construction
of the NH2-MIL-125@DhaTph heterostructure can effectively
facilitate the dissociation of excitons, resulting in distinct activation
of O2 to O2•– and •OH.
Benefiting from the enhanced generation of reactive oxygen species,
the NH2-MIL-125@DhaTph composite exhibits a superior bactericidal
effect and photocatalytic degradation performance. This work provides
a deeper insight into the excitonic effects based on COFs during the
photocatalytic process and opens a feasible avenue for the regulation
of the excitonic effects in porphyrinic COFs
Image_1_Correlation Among Behavior, Personality, and Electroencephalography Revealed by a Simulated Driving Experiment.TIF
No full textDrivers play the most important role in the human-vehicle-environment system and driving behaviors are significantly influenced by the cognitive state of the driver and his/her personality. In this paper, we aimed to explore the correlation among driving behaviors, personality and electroencephalography (EEG) using a simulated driving experiment. A total of 36 healthy subjects participated in the study. The 64-channel EEG data and the driving data, including the real-time position of the vehicle, the rotation angle of the steering wheel and the speed were acquired simultaneously during driving. The Cattell 16 Personality Factor Questionnaire (16PF) was utilized to evaluate the personalities of subjects. Through hierarchical clustering of the 16PF personality traits, the subjects were divided into four groups, i.e., the Inapprehension group, Insensitivity group, Apprehension group and the Unreasoning group, named after their representative personality trait. Their driving performance and turning behaviors were compared and EEG preprocessing, source reconstruction and the comparisons among the four groups were performed using Statistical Parameter Mapping (SPM). The turning process of the subjects can be formulated into two steps, rotating the steering wheel toward the turning direction and entering the turn, and then rotating the steering wheel back and leaving the turn. The bilateral frontal gyrus was found to be activated when turning left and right, which might be associated with its function in attention, decision-making and executive control functions in visual-spatial and visual-motor processes. The Unreasoning group had the worst driving performance with highest rates of car collision and the most intensive driving action, which was related to a higher load of visual spatial attention and decision making, when the occipital and superior frontal areas played a very important role. Apprehension (O) and Tension (Q4) had a positive correlation, and Reasoning (B) had a negative correlation with dangerous driving behaviors. Our results demonstrated the close correlation among driving behaviors, personality and EEG and may be taken as a reference for the prediction and precaution of dangerous driving behaviors in people with specific personality traits.</p
