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result(s) for
"Yang, Mi"
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Hawk of the mind : collected poems
by
Yang, Mu, 1940- author
,
Yeh, Michelle Mi-Hsi, editor
in
Yang, Mu, 1940- Translations into English.
2018
\"The most comprehensive selection of poems by Yang Mu available in English. Translated by noted experts including John Balcom, Steve Bradbury and Andrea Lingenfelter, the volume also contains Yang Mu's prefaces and afterwords to four of his poetry collections, as well as his essay on the origins of Taiwanese poetry. All of this additional material shed light on his poetics. As a member of the first generation of postwar Taiwan, Yang Mu is a modern Taiwanese writer, whose poetry is known for its avant-garde, modernist cosmopolitanism, gracefully combining influences from the best international writing with a reverence for the legacy of classical Chinese poetry. The poems collected in this volume span a wide range of ideas and themes, including Yang Mu's references to music; his comments on social and political reality; his love for nature, and the re-examination of the colonial history of Taiwan. For more than half a century, Yang Mu has been a formative force and the most influential figure on Taiwan's poetry scene. He is widely read in the Chinese-speaking world and has been well received in other parts of the world. Individual volumes of his poetry are available in English, French, German, Japanese, and Swedish\"-- Provided by publisher.
Band Alignment and Controllable Electron Migration between Rutile and Anatase TiO2
2015
TiO
2
is the most promising semiconductor for photocatalytic splitting of water for hydrogen and degradation of pollutants. The highly photocatalytic active form is its mixed phase of two polymorphs anatase and rutile rather than their pristine compositions. Such a synergetic effect is understood by the staggered band alignment favorable to spatial charge separation. However, electron migration in either direction between the two phases has been reported, the reason of which is still unknown. We determined the band alignment by a novel method, i.e., transient infrared absorption-excitation energy scanning spectra, showing their conduction bands being aligned, thus the electron migration direction is controlled by dynamical factors, such as varying the particle size of anatase, putting electron or hole scavengers on either the surface of anatase or rutile phases, or both. A quantitative criterion capable of predicting the migration direction under various conditions including particle size and surface chemical reactions is proposed, the predictions have been verified experimentally in several typical cases. This would give rise to a great potential in designing more effective titania photocatalysts.
Journal Article
Exploring the mechanism of curcumin in the treatment of colon cancer based on network pharmacology and molecular docking
by
Zhu, Mingyang
,
Wang, Xiaohan
,
Duan, Liying
in
1-Phosphatidylinositol 3-kinase
,
AKT protein
,
Apoptosis
2023
Objective: Curcumin is a plant polyphenol extracted from the Chinese herb turmeric. It was found that curcumin has good anti-cancer properties in a variety of cancers, but the exact mechanism is not clear. Based on the network pharmacology and molecular docking to deeply investigate the molecular mechanism of curcumin for the treatment of colon cancer, it provides a new research direction for the treatment of colon cancer. Methods: Curcumin-related targets were collected using PharmMapper, SwissTargetPrediction, Targetnet and SuperPred. Colon cancer related targets were obtained using OMIM, DisGeNET, GeneCards and GEO databases. Drug-disease intersection targets were obtained via Venny 2.1.0. GO and KEGG enrichment analysis of drug-disease common targets were performed using DAVID. Construct PPI network graphs of intersecting targets using STRING database as well as Cytoscape 3.9.0 and filter core targets. Molecular docking via AutoDockTools 1.5.7. The core targets were further analyzed by GEPIA, HPA, cBioPortal and TIMER databases. Results: A total of 73 potential targets of curcumin for the treatment of colon cancer were obtained. GO function enrichment analysis yielded 256 entries, including BP(Biological Progress):166, CC(celluar component):36 and MF(Molecular Function):54. The KEGG pathway enrichment analysis yielded 34 signaling pathways, mainly involved in Metabolic pathways, Nucleotide metabolism, Nitrogen metabolism, Drug metabolism - other enzymes, Pathways in cancer,PI3K-Akt signaling pathway, etc. CDK2, HSP90AA1, AURKB, CCNA2, TYMS, CHEK1, AURKA, DNMT1, TOP2A, and TK1 were identified as core targets by Cytoscape 3.9.0. Molecular docking results showed that the binding energies of curcumin to the core targets were all less than 0 kJ-mol-1, suggesting that curcumin binds spontaneously to the core targets. These results were further validated in terms of mRNA expression levels, protein expression levels and immune infiltration. Conclusion: Based on network pharmacology and molecular docking initially revealed that curcumin exerts its therapeutic effects on colon cancer with multi-target, multi-pathway. Curcumin may exert anticancer effects by binding to core targets. Curcumin may interfere with colon cancer cell proliferation and apoptosis by regulating signal transduction pathways such as PI3K-Akt signaling pathway,IL-17 signaling pathway, Cell cycle. This will deepen and enrich our understanding of the potential mechanism of curcumin against colon cancer and provide a theoretical basis for subsequent studies.
Journal Article
Multi-Timescale Optimal Dispatching Strategy for Coordinated Source-Grid-Load-Storage Interaction in Active Distribution Networks Based on Second-Order Cone Planning
by
Han, Yunhao
,
Li, Zichen
,
Tao, Biao
in
Algorithms
,
Alternative energy sources
,
BP neural network
2023
In order to cope with the efficient consumption and flexible regulation of resource scarcity due to grid integration of renewable energy sources, a scheduling strategy that takes into account the coordinated interaction of source, grid, load, and storage is proposed. In order to improve the accuracy of the dispatch, a BP neural network approach modified by a genetic algorithm is used to predict renewable energy sources and loads. The non-convex, non-linear optimal dispatch model of the distribution grid is transformed into a mixed integer programming model with optimal tides based on the second-order cone relaxation, variable substitution, and segmental linearization of the Big M method. In addition, the uncertainty of distributed renewable energy output and the flexibility of load demand re-response limit optimal dispatch on a single time scale, so the frequency of renewable energy and load forecasting is increased, and an optimal dispatch model with complementary time scales is developed. Finally, the IEEE 33-node distribution system was tested to verify the effectiveness of the proposed optimal dispatching strategy. The simulation results show an 18.28% improvement in the economy of the system and a 24.39% increase in the capacity to consume renewable energy.
Journal Article
Application Model for Innovative Sports Practice Teaching in Colleges Using Internet of Things and Artificial Intelligence
2023
The Internet of Things (IoT) and artificial intelligence (AI) have promoted teaching reform while improving people’s lives. Under the new teaching environment, the position of physical education (PE) teaching in the teaching work has become increasingly prominent. At present, there are some problems in the PE teaching mode of most colleges and universities, such as poor teaching environment, unstable teaching data, and lack of technical support for the teaching system. This also leads to the low quality of PE teaching and unsatisfactory teaching results. In this paper, IoT and AI are combined to study the application mode of innovative practical teaching in college PE. This paper first constructs a physical education teaching system based on the Internet of Things, then summarizes the necessity of artificial intelligence technology participating in the reform of physical education classroom teaching, and gives a specific teaching application model. Finally, based on the golden sine algorithm-optimization neural network, the application model of college physical education in this paper is evaluated. Through experiments and investigations, the new teaching mode improves the teaching efficiency by 14.7%, improves the teaching quality, and provides reference for the next development of IoT and AI in teaching.
Journal Article
The Role of Ca2+-NFATc1 Signaling and Its Modulation on Osteoclastogenesis
2020
The increasing of intracellular calcium concentration is a fundamental process for mediating osteoclastogenesis, which is involved in osteoclastic bone resorption. Cytosolic calcium binds to calmodulin and subsequently activates calcineurin, leading to NFATc1 activation, a master transcription factor required for osteoclast differentiation. Targeting the various activation processes in osteoclastogenesis provides various therapeutic strategies for bone loss. Diverse compounds that modulate calcium signaling have been applied to regulate osteoclast differentiation and, subsequently, attenuate bone loss. Thus, in this review, we summarized the modulation of the NFATc1 pathway through various compounds that regulate calcium signaling and the calcium influx machinery. Furthermore, we addressed the involvement of transient receptor potential channels in osteoclastogenesis.
Journal Article
Father-child attachment on children’s screen time: mediating role of ego resilience
2024
Background
Children spend a significant amount of time engaging in sedentary behaviors, defined as activities that do not increase energy expenditure significantly above resting levels, such as watching TV and playing PC/video games. Increased screen time is a significant public health concern because children are in a developmental stage where lifestyle behaviors predict various health outcomes in adulthood and beyond. This study explores the links between parent-child attachment, ego resilience, and children’s screen time.
Methods
This cross-sectional correlation study uses 1,163 parents and their children data from the 12th Panel Survey of Korean Children. The study instruments were a modified Armsden and Greenberg scale of parent-child attachment and modified the children’s ego resilience scale of the Block and Kremen. Children’s screen time was classified as more than 2 h per day spent watching television, playing on computers, or playing video games in their leisure time.
Results
Study results show a negative association between father-child attachment and children’s screen time (ß = -0.43,
p
< .001) and a positive association between father-child attachment and ego resilience (ß = 0.24,
p
< .001). Ego resilience showed a negative link to children’s screen time after adjusting for parental attachment (ß =- 0.03,
p
= .009). Father-child attachment link to children’s screen time (ß = -0.36,
p
< .001) continued even though the association was slightly reduced in magnitude after adjusting for ego resilience.
Conclusions
Our findings show the mediating role of ego resilience on a negative path of father-child attachment to children’s screen time. This finding emphasizes the importance of fostering solid father-child relationships and enhancing children’s psychological resilience as critical strategies for reducing excessive screen time. By addressing emotional support and resilience-building, interventions can more effectively promote healthier behavioral outcomes in children.
Journal Article