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13,702
result(s) for
"Tang, Yi"
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Thermally modified sterile neutrino portal dark matter and gravitational waves from phase transition: the freeze-in case
by
Tang, Yi-Lei
,
Bian, Ligong
in
Beyond Standard Model
,
Classical and Quantum Gravitation
,
Cosmology of Theories beyond the SM
2018
A
bstract
We consider the thermal effects into the evaluation of the dark matter production process. With the assistance of the right handed neutrinos, the freeze-in massive particle dark matter production history can be modified by the two-step phase transitions. The kinematic of decay/inverse decay or annihilation processes can be affected by the finite temperature effects as the Universe cools down. The history of the symmetry respected by the model can be revealed by the DM relic abundance evolution processes. The strong first order electroweak phase transition generated gravitational waves can be probed. The number of extra scalars for the Hierarchy problem can be probed through the Higgs off-shell searches at the LHC.
Journal Article
Art and artists in China since 1949
\"In this lavishly illustrated study, the scholar and critic Yi Ying brings a distinctly Chinese perspective to the development of art and artists in China since 1949. These have been years of dramatic change for China, and the art of this period is therefore of historical, political and cultural interest, being first used to promote the revolutionary cause, later to question and criticise and, more recently, charting the changes in cultural and economic policy that have taken place since 1978. In the twenty-first century, Chinese art is diverse, distinctive, and highly prized in the global art market. Presented here in English translation for the first time, Yi's narrative opens up fresh questions about both the nature of contemporary art and the China of today\"-- Provided by publisher.
Laboratory diagnosis of emerging human coronavirus infections - the state of the art
by
Loeffelholz, Michael J.
,
Tang, Yi-Wei
in
Antigens, Viral - analysis
,
Betacoronavirus - genetics
,
Betacoronavirus - immunology
2020
The three unprecedented outbreaks of emerging human coronavirus (HCoV) infections at the beginning of the twenty-first century have highlighted the necessity for readily available, accurate and fast diagnostic testing methods. The laboratory diagnostic methods for human coronavirus infections have evolved substantially, with the development of novel assays as well as the availability of updated tests for emerging ones. Newer laboratory methods are fast, highly sensitive and specific, and are gradually replacing the conventional gold standards. This presentation reviews the current laboratory methods available for testing coronaviruses by focusing on the coronavirus disease 2019 (COVID-19) outbreak going on in Wuhan. Viral pneumonias typically do not result in the production of purulent sputum. Thus, a nasopharyngeal swab is usually the collection method used to obtain a specimen for testing. Nasopharyngeal specimens may miss some infections; a deeper specimen may need to be obtained by bronchoscopy. Alternatively, repeated testing can be used because over time, the likelihood of the SARS-CoV-2 being present in the nasopharynx increases. Several integrated, random-access, point-of-care molecular devices are currently under development for fast and accurate diagnosis of SARS-CoV-2 infections. These assays are simple, fast and safe and can be used in the local hospitals and clinics bearing the burden of identifying and treating patients.
Journal Article
Metabolism in tumor microenvironment: Implications for cancer immunotherapy
2020
Tumor microenvironment is a special environment for tumor survival, which is characterized by hypoxia, acidity, nutrient deficiency, and immunosuppression. The environment consists of the vasculature, immune cells, extracellular matrix, and proteins or metabolic molecules. A large number of recent studies have shown that not only tumor cells but also the immune cells in the tumor microenvironment have undergone metabolic reprogramming, which is closely related to tumor drug resistance and malignant progression. Tumor immunotherapy based on T cells gives patients new hope, but faces the dilemma of low response rate. New strategies sensitizing cancer immunotherapy are urgently needed. Metabolic reprogramming can directly affect the biological activity of tumor cells and also regulate the differentiation and activation of immune cells. The authors aim to review the characteristics of tumor microenvironment, the metabolic changes of tumor‐associated immune cells, and the regulatory role of metabolic reprogramming in cancer immunotherapy. Metabolic reprogramming is the basis of tumor microenvironment, which consists of cellular and extracellular components. The cellular components are mainly composed of hematopoietic immune cells (For example, TAMs, tumor‐associated macrophages; TILs, tumor‐infiltrated lymphocytes; TADCs, tumor‐associated dendritic cells; TANKs, tumor‐associated natural killer cells) and resident stromal cells. The extracellular components are mainly composed of extracellular matrix and cell‐secreted factors. The interaction between cancer cells and interstitial cells in the tumor microenvironment regulates tumorigenesis and progression.
Journal Article
Health Functions and Related Molecular Mechanisms of Tea Components: An Update Review
by
Wei, Xin-Lin
,
Gan, Ren-You
,
Tang, Guo-Yi
in
Amino acids
,
Animals
,
Anti-Inflammatory Agents - pharmacology
2019
Tea is widely consumed all over the world. Generally, tea is divided into six categories: White, green, yellow, oolong, black, and dark teas, based on the fermentation degree. Tea contains abundant phytochemicals, such as polyphenols, pigments, polysaccharides, alkaloids, free amino acids, and saponins. However, the bioavailability of tea phytochemicals is relatively low. Thus, some novel technologies like nanotechnology have been developed to improve the bioavailability of tea bioactive components and consequently enhance the bioactivity. So far, many studies have demonstrated that tea shows various health functions, such as antioxidant, anti-inflammatory, immuno-regulatory, anticancer, cardiovascular-protective, anti-diabetic, anti-obesity, and hepato-protective effects. Moreover, it is also considered that drinking tea is safe to humans, since reports about the severe adverse effects of tea consumption are rare. In order to provide a better understanding of tea and its health potential, this review summarizes and discusses recent literature on the bioactive components, bioavailability, health functions, and safety issues of tea, with special attention paid to the related molecular mechanisms of tea health functions.
Journal Article
Impact of livestock grazing management on carbon stocks: a case study in sparse elm woodlands of semi-arid lands
2023
Livestock grazing is a widespread practice in human activities worldwide. However, the effects of livestock grazing management on vegetation carbon storage have not been thoroughly evaluated. In this study, we used the system dynamic approach to simulate the effects of different livestock grazing management strategies on carbon stock in sparse elm woodlands. The livestock grazing management strategies included rotational grazing every 5 years (RG5), prohibited grazing (PG), seasonal prohibited grazing (SPG), and continuous grazing (CG). We evaluated the carbon sequestration rate in vegetation using logistical models. The results showed that the carbon stock of elm trees in sparse woodlands was 5–15 M g ha −1 . The values of the carbon sequestration rate were 0.15, 0.13, 0.13, and 0.09 Mg C ha −1 year −1 in RG5, PG, CG, and SPG management, respectively. This indicates that rotational grazing management might be the optimal choice for improving vegetation carbon accumulation in sparse woodlands. This study contributes to decision-making on how to choose livestock grazing management to maintain higher carbon storage.
Journal Article
How CEO hubris affects corporate social (ir)responsibility
by
Chen, Guoli
,
Qian, Cuili
,
Shen, Rui
in
Boundary conditions
,
CEO hubris
,
Chief executive officers
2015
Grounded in the upper echelons perspective and stakeholder theory, this study establishes a link between CEO hubris and corporate social responsibility (CSR). We first develop the theoretical argument that CEO hubris is negatively related to a firm's socially responsible activities but positively related to its socially irresponsible activities. We then explore the boundary conditions of hubris effects and how these relationships are moderated by resource dependence mechanisms. With a longitudinal dataset of S&P 1500 index firms for the period 2001-2010, we find that the relationship between CEO hubris and CSR is weakened when the firm depends more on stakeholders for resources, such as when its internal resource endowments are diminished as indicated by firm size and slack, and when the external market becomes more uncertain and competitive. The implications of our findings for upper echelons theory and the CSR research are discussed.
Journal Article
Explainable drug sensitivity prediction through cancer pathway enrichment
2021
Computational approaches to predict drug sensitivity can promote precision anticancer therapeutics. Generalizable and explainable models are of critical importance for translation to guide personalized treatment and are often overlooked in favor of prediction performance. Here, we propose PathDSP: a pathway-based model for drug sensitivity prediction that integrates chemical structure information with enrichment of cancer signaling pathways across drug-associated genes, gene expression, mutation and copy number variation data to predict drug response on the Genomics of Drug Sensitivity in Cancer dataset. Using a deep neural network, we outperform state-of-the-art deep learning models, while demonstrating good generalizability a separate dataset of the Cancer Cell Line Encyclopedia as well as provide explainable results, demonstrated through case studies that are in line with current knowledge. Additionally, our pathway-based model achieved a good performance when predicting unseen drugs and cells, with potential utility for drug development and for guiding individualized medicine.
Journal Article