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105 result(s) for "Jiang, Ziqing"
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Research on the Strategic Positioning of the Korean Mainstream Film and Television Market based on Netflix Platform
Researching the strategic position of the mainstream Korean film and television market based on Netflix will greatly impact the development direction of the mainstream Korean film and television market in the next decade. At the same time, it has also planned and broadened the possibilities and development potential of Asian film, television, and Netflix in the Asian market to a certain extent. This paper chose this topic because the cultural output of Korean movies and TV dramas has had a wide range of influence and appeal in recent years, and the quality of movies and TV dramas has improved dramatically. It has a rich storyline, excellent visual effects, music, costumes, and stylistic designs that reflect Korean culture’s unique ideas and values. It deeply reflects the unique ideas and values of Korean culture. The research methods used are questionnaires and comparative analysis. The results are analyzed from data analysis and commons characteristic. Discussion is discussed reasonably from the creative stage and propagation stage. The value of this paper can be reflected in helping Korean film and television enterprises formulate strategies. Studying the strategic position of the Korean film and television market can help Korean film and television enterprises fully understand and analyze market trends. It can also promote the development of the film and television industry. Studying the film and television market’s strategic position in Korea can promote film development.
Differences in cardiovascular disease mortality between northern and southern China under exposure to different temperatures: a systematic review
Due to differences in climate and other environmental factors, exposure to different temperatures in China has different effects on the relative risk (RR) of cardiovascular disease (CVD) mortality. It is therefore important to compare the effects of exposure to different temperatures on CVD mortality in different regions of China. To compare these effects, we performed a meta-analysis of 21 studies identified by a search of the Web of Science and China National Knowledge Infrastructure databases from January 1, 2014 to January 1, 2024. We performed the Cochran test and statistics test to evaluate heterogeneity and Egger's test to evaluate publication bias. The pooled estimated size of the relationship between exposure to different temperatures and CVD mortality was 1.60 (95% confidence interval [CI]: [1.42-1.80]) for the extreme cold, 1.17 (95% CI [1.10-1.25]) for the extreme heat, and 1.16 (95% CI [1.10-1.24]) for extremely high diurnal temperature range (DTR). The Egger's test showed potential publication bias in studies analyzing both the extreme cold and the extreme heat. Extreme cold, extreme heat, and extremely high DTR are associated with an increase in CVD mortality in China, with extreme cold having the most significant effect. Residents of northern regions are more susceptible to high temperatures, while residents of southern regions are more sensitive to low temperatures.
An optimal dispatch strategy for distributed microgrids using PSO
Grids structure is evolving rapidly in view of contemporary energy policies which ensure the addition of more renewable sources to reduce carbon footprint. Compared to the centralized approach, low voltage grid (decentralized and distributed) are promising approaches to integrate non-dispatchable renewable energy sources (RESs). Installing local micro level power generation sources like fuel cell, microturbine, and energy storage system are a recent trend which helps in intermittent the effect of RESs and makes microgrids less dependable on the main grid. Due to the increasing variety of distributed generation sources having diverse characteristics, power dispatch scheduling of distributed microgrids is getting challenging. A dispatch scheduling solution from an operator's point of view is presented by authors. The core objective of the study is to minimize the carbon emissions and the cost of each microgrid. Further, it is observed that sales and purchases from the main grid are reduced. Consequently, transmission losses are also decreased.
Development and Testing of a Novel Microstrip Photocathode ICCD for Lunar Remote Raman Detection
The intensified charge-coupled device (ICCD), known for its exceptional low-light detection performance and time-gating capability, has been widely applied in remote Raman spectroscopy systems. However, existing ICCDs face significant challenges in meeting the comprehensive requirements of high gating speed, high sensitivity, high resolution, miniaturization, and adaptability to extreme environments for the upcoming lunar remote Raman spectroscopy missions. To address these challenges, this study developed a microstrip photocathode (MP-ICCD) specifically designed for lunar remote Raman spectroscopy. A comprehensive testing method was also proposed to evaluate critical performance parameters, including optical gating width, optimal gain voltage, and relative resolution. The MP-ICCD was integrated into a prototype remote Raman spectrometer equipped with a 40 mm aperture telescope and tested under outdoor sunlight conditions. The experimental results demonstrated that the developed MP-ICCD successfully achieved a minimum optical gating width of 6.0 ns and an optimal gain voltage of 870 V, with resolution meeting the requirements for Raman spectroscopy detection. Under outdoor solar illumination, the prototype remote Raman spectrometer utilizing the MP-ICCD accurately detected the Raman spectra of typical lunar minerals, including quartz, olivine, pyroxene, and plagioclase, at a distance of 1.5 m. This study provides essential technical support and experimental validation for the application of MP-ICCD in lunar Raman spectroscopy missions.
Albuca Bracteate Polysaccharides Synergistically Enhance the Anti-Tumor Efficacy of 5-Fluorouracil Against Colorectal Cancer by Modulating β-Catenin Signaling and Intestinal Flora
The first-line treatment for colorectal cancer (CRC) is 5-fluorouracil (5-FU). However, the efficacy of this treatment is sometimes limited owing to chemoresistance as well as treatment-associated intestinal mucositis and other adverse events. Growing evidence suggests that certain phytochemicals have therapeutic and cancer-preventing properties. Further, the synergistic interactions between many such plant-derived products and chemotherapeutic drugs have been linked to improved therapeutic efficacy. Polysaccharides extracted from Albuca bracteata ( Thunb. ) J.C.Manning and Goldblatt (ABP) have been reported to exhibit anti-oxidant, anti-inflammatory, and anti-tumor properties. In this study, murine CRC cells (CT26) and a murine model of CRC were used to examine the anti-tumor properties of ABP and explore the mechanism underlying the synergistic interactions between ABP and 5-FU. Our results revealed that ABP could inhibit tumor cell proliferation, invasion, and migratory activity in vitro and inhibited tumor progression in vivo by suppressing β-catenin signaling. Additionally, treatment with a combination of ABP and 5-FU resulted in better outcomes than treatment with either agent alone. Moreover, this combination therapy resulted in the specific enrichment of Ruminococcus , Anaerostipes , and Oscillospira in the intestinal microbiota and increased fecal short-chain fatty acid (SCFA) levels (acetic acid, propionic acid, and butyric acid). The improvement in the intestinal microbiota and the increase in beneficial SCFAs contributed to enhanced therapeutic outcomes and reduced the adverse effects of 5-FU. Together, these data suggest that ABP exhibits anti-neoplastic activity and can effectively enhance the efficacy of 5-FU in CRC treatment. Therefore, further research on the application of ABP in the development of novel anti-tumor drugs and adjuvant compounds is warranted and could improve the outcomes of CRC patients.
Agent-based simulation for symmetric electricity market considering price-based demand response
With the development of electricity market mechanism and advanced metering infrastructure (AMI), demand response has become an important alternative solution to improving power system reliability and efficiency. In this paper, the agent-based modelling and simulation method is applied to explore the impact of symmetric market mechanism and demand response on electricity market. The models of market participants are established according to their behaviors. Consumers’ response characteristics under time-of-use (TOU) mechanism are also taken into account. The level of clearing price and market power are analyzed and compared under symmetric and asymmetric market mechanisms. The results indicate that the symmetric mechanism could effectively lower market prices and avoid monopoly. Besides, TOU could apparently flatten the overall demand curve by enabling customers to adjust their load profiles, which also helps to reduce the price.
The role of tenascin-C in tumor microenvironments and its potential as a therapeutic target
The tumor microenvironment (TME) plays a pivotal role in cancer development and progression, and comprises various cellular and non-cellular components that interact with tumor cells. Tenascin-C (TNC) is an extracellular matrix glycoprotein that is widely expressed in the cancer stroma and influences critical processes, such as cell adhesion, migration, and immune modulation. This review examines the multifaceted roles of TNC in different TMEs, including the mechanical, immune, and metabolic microenvironments, as well as the radiation microenvironment (RME). In the context of the mechanical microenvironment, TNC actively participates in extracellular matrix remodeling, thereby facilitating tumor invasion. Notably, TNC exhibits immunosuppressive effects on T cells and promotes the recruitment of immunosuppressive cells within the immune microenvironment. Furthermore, TNC is implicated in the tumor hypoxia response, glucose metabolism reprogramming, and regulation of pH balance, underscoring its role in the metabolic microenvironment. Intriguingly, TNC also influences radiosensitivity within RME. This review also explores the potential of TNC as a biomarker for cancer prognosis and as a target for therapeutic interventions. By integrating recent advances in single-cell sequencing and spatial omics, we propose innovative strategies for leveraging TNC in personalized cancer therapy. Future research directions are discussed, focusing on distinct isoforms of TNC, their interaction networks, and their roles in radiotherapy efficacy. This comprehensive analysis underscores the importance of TNC in understanding tumor dynamics and improving cancer treatment outcomes.
Development and Testing of a Compact Remote Time-Gated Raman Spectrometer for In Situ Lunar Exploration
Raman spectroscopy is capable of precisely identifying and analyzing the composition and properties of samples collected from the lunar surface, providing crucial data support for lunar scientific research. However, in situ Raman spectroscopy on the lunar surface faces challenges such as weak Raman scattering from targets, alongside requirements for lightweight and long-distance detection. To address these challenges, time-gated Raman spectroscopy (TG-LRS) based on a passively Q-switched pulsed laser and a linear intensified charge-coupled device (ICCD), which enable simultaneous signal amplification and background suppression, has been developed to evaluate the impact of key operational parameters on Raman signal detection and to explore miniaturization optimization. The TG-LRS system includes a 40 mm zoom telescope, a passively Q-switched 532 nm pulsed laser, a fiber optic delay line, a miniature spectrometer, and a linear ICCD detector. It achieves an electronic gating width under 20 ns. Within a detection range of 1.1–3.0 m, the optimal delay time varies linearly from 20 to 33 ns. Raman signal intensity increases with image intensifier gain, while the signal-to-noise ratio peaks at a gain range of 800–900 V before declining. Furthermore, the effects of focal depth, telescope aperture, laser energy, and integration time were studied. The Raman spectra of lunar minerals were successfully obtained in the lab, confirming the system’s ability to suppress solar background light. This demonstrates the feasibility of in situ Raman spectroscopy on the lunar surface and offers strong technical support for future missions.
A comparison of invasive arterial blood pressure measurement with oscillometric non-invasive blood pressure measurement in patients with sepsis
Purpose This study aimed to compare non-invasive oscillometric blood pressure (NIBP) measurement with invasive arterial blood pressure (IBP) measurement in patients with sepsis. Methods We conducted a retrospective study to evaluate the agreement between IBP and NIBP using the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. Paired blood pressure measurements of mean arterial pressure (MAP), systolic blood pressure (SBP), and diastolic blood pressure (DBP) were compared using Bland–Altman analysis and paired Student’s t test. We also focus on the effect of norepinephrine (NE) on the agreement between the two methods and the association between blood pressure and mortality during intensive care unit (ICU) stay. Results A total of 96,673 paired blood pressure measurements from 6060 unique patients were analyzed in the study. In Bland–Altman analysis, the bias (± SD, 95% limits of agreement) was 6.21 mmHg (± 12.05 mmHg, − 17.41 to 29.83 mmHg) for MAP, 0.39 mmHg (± 19.25 mmHg, − 37.34 to 38.12 mmHg) for SBP, and 0.80 mmHg (± 12.92 mmHg, − 24.52 to 26.12 mmHg) for DBP between the two techniques. Similarly, large limits of agreement were shown in different groups of NE doses. NE doses significantly affected the agreement between IBP and NIBP. SBP between the two methods gave an inconsistent assessment of patients’ risk of ICU mortality. Conclusion IBP and NIBP were not interchangeable in septic patients. Clinicians should be aware that non-invasive MAP was clinically and significantly underestimated invasive MAP.
Application of Particle Swarm Optimization to a Scheduling Strategy for Microgrids Coupled with Natural Gas Networks
This article focuses on the minimization of operational cost and optimal power dispatch associated with microgrids coupled with natural gas networks using particle swarm optimization (PSO). Introducing a natural gas turbine in a microgrid to overcome the drawbacks of renewable energy resources is a recent trend. This results in increased load and congestion in the gas network. To avoid congestion and balance the load, it is necessary to coordinate with the electric grid to plan optimal dispatch of both interactive networks. A modification is done in applying PSO to solve this coupled network problem. To study the proposed approach, a 7-node natural gas system coupled with the IEEE bus 33 test system is used. The proposed strategy provides the optimal power dispatch. Moreover, it indicates that power sharing between the main grid and microgrid is reduced in such a way that it may help the main grid to shave the load curve peaks.