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"Zhao, Yong"
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Who's afraid of the big bad dragon? : why China has the best (and worst) education system in the world
\"The secrets behind China's extraordinary educational system - good, bad, and ugly, Chinese students' consistently stunning performance on the international PISA exams-- where they outscore students of all other nations in math, reading, and science--have positioned China as a world education leader. American educators and pundits have declared this a \"Sputnik Moment,\" saying that we must learn from China's education system in order to maintain our status as an education leader and global superpower. Indeed, many of the reforms taking hold in United States schools, such as a greater emphasis on standardized testing and the increasing importance of core subjects like reading and math, echo the Chinese system. We're following in China's footsteps--but is this the direction we should take? Who's Afraid of the Big Bad Dragon? by award-winning writer Yong Zhao offers an entertaining, provocative insider's account of the Chinese school system, revealing the secrets that make it both \"the best and worst\" in the world. Born and raised in China's Sichuan province and a teacher in China for many years, Zhao has a unique perspective on Chinese culture and education. He explains in vivid detail how China turns out the world's highest-achieving students in reading, math, and science--yet by all accounts Chinese educators, parents, and political leaders hate the system and long to send their kids to western schools. Filled with fascinating stories and compelling data, Who's Afraid of the Big Bad Dragon? offers a nuanced and sobering tour of education in China. Learn how China is able to turn out the world's highest achieving students in math, science, and reading Discover why, despite these amazing test scores, Chinese parents, teachers, and political leaders are desperate to leave behind their educational system Discover how current reforms in the U.S. parallel the classic Chinese system, and how this could help (or hurt) our students' prospects \"-- Provided by publisher.
Book
Two decades of havoc: A synthesis of criticism against PISA
The Programme for International Students Assessment (PISA) has become one of the most influential forces in global education. The growing influence has been accompanied by growing criticism. For nearly two decades since the first round of PISA was conducted in 2000, the global assessment program has been roundly scrutinized and criticized by education researchers all over the world. But the mounting criticism seems to have had little impact on PISA’s influence as evidenced by its growing power in global education policy and practice. The lack of impact of criticism does not mean the criticism is not valid or PISA has improved. It simply means that the criticism has been largely ignored. The lack of impact is no reason to give up exposing PISA as a flawed business that has great power to misguide education. The expanding influence of the PISA enterprise makes it more even more important to be critical of this juggernaut today. It is also important to consider more effective and more straightforward approaches to present the criticism. The purpose of this article is to present a summary of criticisms that reveal the most fundamental flaws of PISA in non-technical language in one place. Specifically, the article focuses on criticisms of PISA’s three fundamental deficiencies: its underlying view of education, its implementation, and its interpretation and impact on education globally.
Journal Article
Enhancing Drug Solubility, Bioavailability, and Targeted Therapeutic Applications through Magnetic Nanoparticles
Biological variability poses significant challenges in the development of effective therapeutics, particularly when it comes to drug solubility and bioavailability. Poor solubility across varying physiological conditions often leads to reduced absorption and inconsistent therapeutic outcomes. This review examines how nanotechnology, especially through the use of nanomaterials and magnetic nanoparticles, offers innovative solutions to enhance drug solubility and bioavailability. This comprehensive review focuses on recent advancements and approaches in nanotechnology. We highlight both the successes and remaining challenges in this field, emphasizing the role of continued innovation. Future research should prioritize developing universal therapeutic solutions, conducting interdisciplinary research, and leveraging personalized nanomedicine to address biological variability.
Journal Article
الدفاع الوطني للصين
ظل موضوع الدفاع الوطني الصيني واحدا من الموضوعات التي حظيت باهتمام القارئ الأجنبي. وباعتبار الصين واحدة من البلدان الكبرى التي تتمتع بتنمية اقتصادية سريعة، فما هو الوضع الحالي لعملية تحديث الدفاع الوطني الصيني ؟ وما هي السياسات التي تعتمدها الصين تجاه قضايا الدفاع الوطني ؟ وما هي طرق تطوير الدفاع الوطني ؟ وما مدى مساهمته في السلام والاستقرار العالمي ؟ ويسعى كتاب (الدفاع الوطني الصيني) إلى البحث عن إجابات من خلال الواقع والوصول بالقارئ لمعرفة كل ما يتعلق بالدفاع الوطني الصيني.
Book
Mapping the epigenetic modifications of DNA and RNA
Over 17 and 160 types of chemical modifications have been identified in DNA and RNA, respectively. The interest in understanding the various biological functions of DNA and RNA modifications has lead to the cutting-edged fields of epigenomics and epitranscriptomics. Developing chemical and biological tools to detect specific modifications in the genome or transcriptome has greatly facilitated their study. Here, we review the recent technological advances in this rapidly evolving field. We focus on high-throughput detection methods and biological findings for these modifications, and discuss questions to be addressed as well. We also summarize third-generation sequencing methods, which enable long-read and single-molecule sequencing of DNA and RNA modification.
Journal Article
Hyperspectral and Multispectral Image Fusion via Deep Two-Branches Convolutional Neural Network
Enhancing the spatial resolution of hyperspectral image (HSI) is of significance for applications. Fusing HSI with a high resolution (HR) multispectral image (MSI) is an important technology for HSI enhancement. Inspired by the success of deep learning in image enhancement, in this paper, we propose a HSI-MSI fusion method by designing a deep convolutional neural network (CNN) with two branches which are devoted to features of HSI and MSI. In order to exploit spectral correlation and fuse the MSI, we extract the features from the spectrum of each pixel in low resolution HSI, and its corresponding spatial neighborhood in MSI, with the two CNN branches. The extracted features are then concatenated and fed to fully connected (FC) layers, where the information of HSI and MSI could be fully fused. The output of the FC layers is the spectrum of the expected HR HSI. In the experiment, we evaluate the proposed method on Airborne Visible Infrared Imaging Spectrometer (AVIRIS), and Environmental Mapping and Analysis Program (EnMAP) data. We also apply it to real Hyperion-Sentinel data fusion. The results on the simulated and the real data demonstrate that the proposed method is competitive with other state-of-the-art fusion methods.
Journal Article
Single-cell RNA-seq highlights intra-tumoral heterogeneity and malignant progression in pancreatic ductal adenocarcinoma
Pancreatic ductal adenocarcinoma (PDAC) is the most common type of pancreatic cancer featured with high intra-tumoral heterogeneity and poor prognosis. To comprehensively delineate the PDAC intra-tumoral heterogeneity and the underlying mechanism for PDAC progression, we employed single-cell RNA-seq (scRNA-seq) to acquire the transcriptomic atlas of 57,530 individual pancreatic cells from primary PDAC tumors and control pancreases, and identified diverse malignant and stromal cell types, including two ductal subtypes with abnormal and malignant gene expression profiles respectively, in PDAC. We found that the heterogenous malignant subtype was composed of several subpopulations with differential proliferative and migratory potentials. Cell trajectory analysis revealed that components of multiple tumor-related pathways and transcription factors (TFs) were differentially expressed along PDAC progression. Furthermore, we found a subset of ductal cells with unique proliferative features were associated with an inactivation state in tumor-infiltrating T cells, providing novel markers for the prediction of antitumor immune response. Together, our findings provide a valuable resource for deciphering the intra-tumoral heterogeneity in PDAC and uncover a connection between tumor intrinsic transcriptional state and T cell activation, suggesting potential biomarkers for anticancer treatment such as targeted therapy and immunotherapy.
Journal Article
Is Preoperative Fibrinogen Associated with the Survival Prognosis of Gastric Cancer Patients? A Multi-centered, Propensity Score-Matched Retrospective Study
Background
The prognostic significance of preoperative plasma fibrinogen in patients with operable gastric cancer remains under debate. This study aimed to elucidate the prognostic value of fibrinogen in gastric cancer patients underwent gastrectomy.
Methods
A total of 4351 patients with gastric cancer collected from three comprehensive medical centers were retrospectively evaluated. Patients were categorized by minimum
P
value using X-tile, while the baseline confounders for fibrinogen was balanced through propensity score matching (PSM). The relationships between fibrinogen and other clinicopathologic features were evaluated, and nomogram was constructed to assess its prognostic improvement compared with TNM staging system.
Results
Fibrinogen was significantly correlated with macroscopic type, tumor differentiation, tumor size, and T and N stage. The factors, fibrinogen and T stage as well as N stage, were identified to be independent prognostic factors after PSM. Nomogram based on fibrinogen demonstrated a smaller Akaike information criterion (AIC) and a larger concordance index (C-index) than TNM staging system, illustrating that fibrinogen might be able to improve the prognostic accuracy.
Conclusions
Preoperative plasma fibrinogen levels in gastric cancer patients were significantly correlated with tumor progression, which could be regarded as a reliable marker for survival prognostic prediction.
Journal Article
Identification of serum metabolites associating with chronic kidney disease progression and anti-fibrotic effect of 5-methoxytryptophan
Early detection and accurate monitoring of chronic kidney disease (CKD) could improve care and retard progression to end-stage renal disease. Here, using untargeted metabolomics in 2155 participants including patients with stage 1–5 CKD and healthy controls, we identify five metabolites, including 5-methoxytryptophan (5-MTP), whose levels strongly correlate with clinical markers of kidney disease. 5-MTP levels decrease with progression of CKD, and in mouse kidneys after unilateral ureteral obstruction (UUO). Treatment with 5-MTP ameliorates renal interstitial fibrosis, inhibits IκB/NF-κB signaling, and enhances Keap1/Nrf2 signaling in mice with UUO or ischemia/reperfusion injury, as well as in cultured human kidney cells. Overexpression of tryptophan hydroxylase-1 (TPH-1), an enzyme involved in 5-MTP synthesis, reduces renal injury by attenuating renal inflammation and fibrosis, whereas TPH-1 deficiency exacerbates renal injury and fibrosis by activating NF-κB and inhibiting Nrf2 pathways. Together, our results suggest that TPH-1 may serve as a target in the treatment of CKD.
Accurate monitoring of chronic kidney disease (CKD) progression is essential for efficient disease management. Here Chen et al. identify five serum metabolites in patients with stage 1–5 CKD whose levels associate with disease progression, and find that 5-methoxytryptophan and its regulatory enzyme TPH-1 exert anti-fibrotic effects in mouse models of kidney injury.
Journal Article