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"Tang, Yi"
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Thermally modified sterile neutrino portal dark matter and gravitational waves from phase transition: the freeze-in case
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.
Book
Laboratory diagnosis of emerging human coronavirus infections - the state of the art
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
A spatially interpretable machine learning framework for urban waterlogging risk mapping in Beijing
Urban waterlogging is an escalating challenge under rapid urbanization and climate change, yet accurate spatial prediction remains hindered by nonlinear drivers and spatial heterogeneity. This study proposes a spatially interpretable machine learning framework by integrating remote sensing and geospatial data with hybrid modeling. Using recorded waterlogging locations in Beijing, we constructed a balanced dataset with topographic, hydrological, land cover, and proximity-based predictors. Four machine learning algorithms—Random Forest (RF), Support Vector Machine (SVM), K-Nearest Neighbor (KNN), and eXtreme Gradient Boosting (XGBoost)—were evaluated, with XGBoost achieving the best classification performance (area under the curve (AUC) = 0.913 ± 0.055). To enhance spatial interpretability, two hybrid strategies were further developed: (1) XGBoost_MGWR, in which XGBoost serves as the primary predictor and MGWR corrects its spatially structured residuals, thereby improving spatial explanatory power; and (2) MGWR_XGBoost, where MGWR first models spatially varying effects and XGBoost subsequently fits the residuals to refine predictive performance. Results from spatially blocked five-fold cross-validation show that MGWR_XGBoost provides the best probabilistic accuracy (Brier = 0.289 ± 0.039) and the highest area under the precision recall (PR-AUC) (0.576), with substantially higher specificity (0.734) and a spatially stable local R 2 pattern; therefore, it was selected for final risk mapping. The proposed framework enables high-resolution, spatially explicit risk mapping and offers practical support for drainage planning, green infrastructure prioritization, and adaptive flood governance. Beyond Beijing, this approach shows strong potential for improving resilience in other data-scarce urban environments facing intensifying flood risks.
Journal Article
Metabolism in tumor microenvironment: Implications for cancer immunotherapy
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
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
Chief sustainability officers and corporate social (Ir) responsibility
Research Summary How will a chief sustainability officer (CSO) influence corporate social performance? Building upon the upper echelons perspective and the attention‐based view, this study argues that while a CSO helps channel managerial attention to a firm's social domain, managerial attention is more likely to be directed to negative issues than to positive issues. In addition, such relationships are contingent on the focal firm's governance design and its industry culpability. Analysis of a sample of S&P 500 firms for the period of 2005–2014 largely renders support to our predictions. Managerial Summary While more and more firms start to put a chief sustainability officer (CSO) on its top management team (TMT), the implications for corporate social performance of CSO presence remain unclear. With a sample of S&P 500 firms, we find that the presence of a CSO increases the firm's socially responsible activities (CSR) and reduces its socially irresponsible activities (CSiR). Moreover, CSO presence has a greater effect on reducing CSiR than on increasing CSR. These relationships become stronger when the firm has a sustainability committee on the board and is in a culpable industry.
Journal Article
Promoting Psychological Well-Being Through an Evidence-Based Mindfulness Training Program
Psychological well-being is a core feature of mental health, and may be defined as including hedonic (enjoyment, pleasure) and eudaimonic (meaning, fulfillment) happiness, as well as resilience (coping, emotion regulation, healthy problem solving). To promote psychological well-being, it is helpful to understand the underlying mechanisms associated with this construct and then develop targeted and effective training programs. In this perspective article, we discuss key components and potential brain-body mechanisms related to psychological well-being and propose mindfulness training as a promising way to improve it. Based on a series of randomized controlled trial (RCT) studies of one form of mindfulness training in adolescents and adults, the integrative body-mind training (IBMT), we use IBMT as an exemplar to provide research evidence of the positive effects of mindfulness training on psychological well-being. We focus on one of the mechanisms by which IBMT enhances psychological well-being-the interaction between mind (mindfulness) and body (bodifulness)-which involves both the central nervous system (CNS) and the autonomic nervous system (ANS). We also highlight the role of brain self-control networks, including the anterior cingulate cortex/prefrontal cortex (ACC/PFC), in improving psychological well-being. We suggest that mindfulness training may be a promising program that promotes the synergistic engagement of mind and body to achieve the goals of enhancing psychological well-being.
Journal Article