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29,288 result(s) for "Peng, Wei"
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Shaping sustainable perceptions: The role of metaphors in Olympic news discourse
The dissemination of sustainable development concepts in large international events like the Olympics has garnered great attention. As a major international sports event, the Beijing Winter Olympics served as an important platform for showcasing China’s sustainable development philosophy through its official news coverage. In this context, metaphor, as a powerful cognitive tool, plays a crucial role in shaping public perception and facilitating the dissemination of values by mapping concrete source domains onto abstract target domains. This paper constructs a critical metaphor analysis framework for sustainable development, analyzing the mechanisms by which metaphors map the concepts of social, economic, and ecological sustainability, and their multifaceted roles in conveying policy proposals, ideologies, cultural values, and social group behaviors. The findings indicate that metaphors effectively facilitate public understanding of sustainability by concretizing abstract concepts. In the social dimension, metaphors emphasize fairness, cultural diversity, and social solidarity; in the economic dimension, they highlight resource recycling, technological innovation, and industrial upgrading; while in the ecological dimension, the focus is on environmental protection and the harmonious coexistence of humanity and nature. Metaphors play a crucial role in shaping public perceptions of policy, reflecting specific values and socio-cultural contexts, facilitating cultural communication and understanding, and enhancing public responsibility and participation awareness.
قراءات في الحزام والطريق : مبادرة الصين للعالم في القرن الحادي والعشرين
في العاشر من سبتمبر عام 2013، أعلن الرئيس الصيني شي جين بينغ خلال زيارته لآسيا الوسطى ومنطقة جنوب شرق آسيا، عن المبادرة الكبرى الحزام والطريق \"الحزام الاقتصادي لطريق الحرير وطريق الحرير البحري للقرن الحادي والعشرين\"، لتحظى المبادرة باهتمام كبير على الصعيد الدولي، حيث تعد سياسة استراتيجية دولية كبرى للصين، وقد وضعت بناء على التخطيط الشامل للمشهدين الدولي والمحلي، وتتسم المبادرة باهمية كبيرة، ومغزى بعيد المدى فيما يتعلق بإنشاء آلية اقتصادية ذات طبيعة منفتحة، وتشكيل نمط جديد للانفتاح نحو الخارج بكل الاتجاهات، وفي هذا الكتاب الذي أعده مجموعة من باحثو \"مركز الابتكار التعاوني لمبادرة الحزام والطريق بجامعة تشيجيانغ\"، ليشكفوا عن كل الأسرار المتعلقة بالمبادرة الصينية الكبرى التي قدمتها للعالم في قرنه الحادي والعشرين، وذلك عملا على تعميق معرفة القاريء \"بالحزام والطريق\"، والنشر على مستوى عالمي للمحتوى الثري والمغزى العميق لهذه المبادرة، ويركز أسلوب هذا الكتاب على الشرح والتحليل والمقارنة، فيتطرق إلى الاطر الاستراتيجية للبمادرة وتنافسية الدول الكبرى ومزايا مناطق الصين وربوعها و ثمار التعاون الدولي وغيرها بالتحليل الدقيق، انطلاقا من الموضوعات التي تهم كل مهتم في العالم بمستقبل الصين، وما ستقدمه للعالم.
Large Language Models in Healthcare and Medical Domain: A Review
The deployment of large language models (LLMs) within the healthcare sector has sparked both enthusiasm and apprehension. These models exhibit the remarkable ability to provide proficient responses to free-text queries, demonstrating a nuanced understanding of professional medical knowledge. This comprehensive survey delves into the functionalities of existing LLMs designed for healthcare applications and elucidates the trajectory of their development, starting with traditional Pretrained Language Models (PLMs) and then moving to the present state of LLMs in the healthcare sector. First, we explore the potential of LLMs to amplify the efficiency and effectiveness of diverse healthcare applications, particularly focusing on clinical language understanding tasks. These tasks encompass a wide spectrum, ranging from named entity recognition and relation extraction to natural language inference, multimodal medical applications, document classification, and question-answering. Additionally, we conduct an extensive comparison of the most recent state-of-the-art LLMs in the healthcare domain, while also assessing the utilization of various open-source LLMs and highlighting their significance in healthcare applications. Furthermore, we present the essential performance metrics employed to evaluate LLMs in the biomedical domain, shedding light on their effectiveness and limitations. Finally, we summarize the prominent challenges and constraints faced by large language models in the healthcare sector by offering a holistic perspective on their potential benefits and shortcomings. This review provides a comprehensive exploration of the current landscape of LLMs in healthcare, addressing their role in transforming medical applications and the areas that warrant further research and development.
مائة سؤال وجواب حول الحزام والطريق : مبادرة الصين للعالم في القرن الحادي والعشرين
في العاشر من سبتمبر عام 2013، أعلن الرئيس الصيني شي جين بينغ خلال زيارته لآسيا الوسطى ومنطقة جنوب شرق آسيا، عن المبادرة الكبرى الحزام والطريق \"الحزام الاقتصادي لطريق الحرير وطريق الحرير البحري للقرن الحادي والعشرين\"، لتحظى المبادرة باهتمام كبير على الصعيد الدولي، حيث تعد سياسة استراتيجية دولية كبرى للصين، وقد وضعت بناء على التخطيط الشامل للمشهدين الدولي والمحلي، وتتسم المبادرة باهمية كبيرة، ومغزى بعيد المدى فيما يتعلق بإنشاء آلية اقتصادية ذات طبيعة منفتحة، وتشكيل نمط جديد للانفتاح نحو الخارج بكل الاتجاهات، وفي هذا الكتاب الذي أعده مجموعة من باحثو \"مركز الابتكار التعاوني لمبادرة الحزام والطريق بجامعة تشيجيانغ\"، ليشكفوا عن كل الأسرار المتعلقة بالمبادرة الصينية الكبرى التي قدمتها للعالم في قرنه الحادي والعشرين، وذلك عملا على تعميق معرفة القاريء \"بالحزام والطريق\"، والنشر على مستوى عالمي للمحتوى الثري والمغزى العميق لهذه المبادرة، ويعتمد أسلوب هذا الكتاب على السؤال والجواب، انطلاقا من الموضوعات التي تهم كل مهتم في العالم بمستقبل الصين، وما ستقدمه للعالم.
An 88-line MATLAB code for the parameterized level set method based topology optimization using radial basis functions
This paper presents a compact and efficient 88-line MATLAB code for the parameterized level set method based topology optimization using radial basis functions (RBFs), which is applied to minimize the compliance of a two-dimensional linear elastic structure. This parameterized level set method using radial basis functions can maintain a relatively smooth level set function with an approximate re-initialization scheme during the optimization process. It also has less dependency on initial designs due to its capability in nucleation of new holes inside the material domain. The MATLAB code and simple modifications are explained in detail with numerical examples. The 88-line code included in the appendix is intended for educational purposes.
Construction of stabilized bulk-nano interfaces for highly promoted inverse CeO2/Cu catalyst
As the water-gas shift (WGS) reaction serves as a crucial industrial process, strategies for developing robust WGS catalysts are highly desiderated. Here we report the construction of stabilized bulk-nano interfaces to fabricate highly efficient copper-ceria catalyst for the WGS reaction. With an in-situ structural transformation, small CeO 2 nanoparticles (2–3 nm) are stabilized on bulk Cu to form abundant CeO 2 -Cu interfaces, which maintain well-dispersed under reaction conditions. This inverse CeO 2 /Cu catalyst shows excellent WGS performances, of which the activity is 5 times higher than other reported Cu catalysts. Long-term stability is also very solid under harsh conditions. Mechanistic study illustrates that for the inverse CeO 2 /Cu catalyst, superb capability of H 2 O dissociation and CO oxidation facilitates WGS process via the combination of associative and redox mechanisms. This work paves a way to fabricate robust catalysts by combining the advantages of bulk and nano-sized catalysts. Catalysts with such inverse configurations show great potential in practical WGS applications. Cu-CeO 2 has been considered as promising alternative to Cu-Zn-Al catalyst for water-gas shift (WGS) reaction, but it still suffers from low activity caused by Cu sintering. Here, the authors develop inverse CeO 2 /Cu catalyst with remarkable activity and stability in WGS via construction of stabilized bulk-nano interfaces.
PD‐L1 expression is mainly regulated by interferon gamma associated with JAK‐STAT pathway in gastric cancer
Despite multidisciplinary treatment for patients with advanced gastric cancer, their prognosis remains poor. Therefore, the development of novel therapeutic strategies is urgently needed, and immunotherapy utilizing anti‐programmed death 1/‐programmed death ligand‐1 mAb is an attractive approach. However, as there is limited information on how programmed death ligand‐1 is upregulated on tumor cells within the tumor microenvironment, we examined the mechanism of programmed death ligand‐1 regulation with a particular focus on interferon gamma in an in vitro setting and in clinical samples. Our in vitro findings showed that interferon gamma upregulated programmed death ligand‐1 expression on solid tumor cells through the JAK‐signal transducer and activator of transcription pathway, and impaired the cytotoxicity of tumor antigen‐specific CTL against tumor cells. Following treatment of cells with anti‐programmed death ligand‐1 mAb after interferon gamma‐pre‐treatment, the reduced anti‐tumor CTL activity by interferon gamma reached a higher level than the non‐treatment control targets. In contrast, programmed death ligand‐1 expression on tumor cells also significantly correlated with epithelial‐mesenchymal transition phenotype in a panel of solid tumor cells. In clinical gastric cancer samples, tumor membrane programmed death ligand‐1 expression significantly positively correlated with the presence of CD8‐positive T cells in the stroma and interferon gamma expression in the tumor. The results suggest that gastric cancer patients with high CD8‐positive T‐cell infiltration may be more responsive to anti‐programmed death 1/‐programmed death ligand‐1 mAb therapy. PD‐L1 levels significantly correlated with CD8 (stroma) levels (P = .018), but not with CD3 nor CD4 in tumor/stroma in gastric cancer. Furthermore, PD‐L1 levels also significantly positively correlated with tumor IFN‐γ levels. The results suggests that upregulation of PD‐L1 may result from increased IFN‐γ production by CTLs which migrate to the tumor during immune activation.
Effects of training and competition on the sleep of elite athletes: a systematic review and meta-analysis
ObjectivesTo characterise the sleep of elite athletes and to identify factors associated with training and competition that negatively affect sleep.DesignPrognosis systematic review.Data sourcesThree databases (PubMed, SCOPUS and SPORTDiscus) were searched from inception to 26 February 2018.Eligibility criteria for selecting studiesIncluded studies objectively reported total sleep time (TST) and/or sleep efficiency (SE) in elite athletes. Studies were required to be observational or to include an observational trial.ResultsFifty-four studies were included. During training, many studies reported athletes were unable to achieve TST (n=23/41) and/or SE (n=16/37) recommendations. On the night of competition, most studies reported athletes were unable to achieve TST (n=14/18) and/or SE (n=10/16) recommendations. TST was shorter (60 min) the night of competition compared with previous nights. SE was lower (1%) the night of competition compared with the previous night. TST was shorter the night of night competition (start ≥18:00; 80 min) and day competition (20 min) compared with the previous night. SE was lower (3%–4%) the night of night competition but unchanged the night of day competition compared with previous nights. Early morning training (start <07:00), increases in training load (>25%), late night/early morning travel departure times, eastward air travel and altitude ascent impaired sleep.ConclusionAthletes were often unable to achieve sleep recommendations during training or competition periods. Sleep was impaired the night of competition compared with previous nights. Early morning training, increases in training load, travel departure times, jet lag and altitude can impair athletes’ sleep.PROSPERO registration numberCRD42017074367.
A novel statistical framework for meta-analysis of total mediation effect with high-dimensional omics mediators in large-scale genomic consortia
Meta-analysis is used to aggregate the effects of interest across multiple studies, while its methodology is largely underexplored in mediation analysis, particularly in estimating the total mediation effect of high-dimensional omics mediators. Large-scale genomic consortia, such as the Trans-Omics for Precision Medicine (TOPMed) program, comprise multiple cohorts with diverse technologies to elucidate the genetic architecture and biological mechanisms underlying complex human traits and diseases. Leveraging the recent established asymptotic standard error of the R-squared ( R 2 )-based mediation effect estimation for high-dimensional omics mediators, we have developed a novel meta-analysis framework requiring only summary statistics and allowing inter-study heterogeneity. Whereas the proposed meta-analysis can uniquely evaluate and account for potential effect heterogeneity across studies due to, for example, varying genomic profiling platforms, our extensive simulations showed that the developed method was more computationally efficient and yielded satisfactory operating characteristics comparable to analysis of the pooled individual-level data when there was no inter-study heterogeneity. We applied the developed method to 5 TOPMed studies with over 5800 participants to estimate the mediation effects of gene expression on age-related variation in systolic blood pressure and sex-related variation in high-density lipoprotein (HDL) cholesterol. The proposed method is available in R package MetaR2M on GitHub .