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حديقة أزهار الفاوانيا هي واحدة من روائع الكاتب تانغ تشينزو الأربعة الحالمة، التي تنقل القارئ إلى عالم بديع من الخيال، وقد كتبت وأعدت قديما كنوع من المسرحيات الغنائية يعرف بالأوبرا. تتحدث هذه الأوبرا عن قصة حب تجمع بين \"تولينغ\" و\"ليومينغ مي\" وتعالج مواضيع وقيما عديدة كالحب والجمال والعلاقات المتنوعة والزواج، وتعد كنزا وطنيا صينيا وإحدى روائع الأعمال التراثية الأدبية في الصين، حيث لا يزال صداها بين الجماهير يتردد في كل مكان حتى عصرنا هذا.

Background Using the published survival statistics from cancer registration or population‐based studies, we aimed to describe the global pattern and trend of lung cancer survival. Methods By searching SinoMed, PubMed, Web of Science, EMBASE, and SEER, all survival analyses from cancer registration or population‐based studies of lung cancer were collected by the end of November 2022. The survival rates were extracted by sex, period, and country. The observed, relative, and net survival rates of lung cancer were applied to describe the pattern and time changes from the late 1990s to the early 21st century. Results Age‐standardized 5‐year relative/net survival rate of lung cancer was typically low, with 10%–20% for most regions. The highest age‐standardized relative/net survival rate was observed in Japan (32.9%, 2010–2014), and the lowest was in India (3.7%, 2010–2014). In most countries, the five‐year age‐standardized relative/net survival rates of lung cancer were higher in females and younger people. The patients with adenocarcinoma had a better prognosis than other groups. In China, the highest 5‐year overall relative/net survival rates were 27.90% and 31.62% in men and women in Jiangyin (2012–2013). Conclusion Over the past decades, the prognosis of lung cancer has gradually improved, but significant variations were also observed globally. Worldwide, a better prognosis of lung cancer can be observed in females and younger patients. It is essential to compare and evaluate the histological or stage‐specific survival rates of lung cancer between different regions in the future. This study collected globally published data on observed and relative survival rates of lung cancer from population‐based cancer registration. Over the past decades, the prognosis of lung cancer has gradually improved. However, region, period, sex, and age might affect the survival rate of lung cancer patients. The observed and relative survival rate of lung cancer patients varies greatly among different histological types and stages.

Salt stress can significantly affect plant growth and agricultural productivity. Receptor-like kinases (RLKs) are believed to play essential roles in plant growth, development, and responses to abiotic stresses. Here, we identify a receptor-like cytoplasmic kinase, salt tolerance receptor-like cytoplasmic kinase 1 (STRK1), from rice (Oryza sativa) that positively regulates salt and oxidative stress tolerance. Our results show that STRK1 anchors and interacts with CatC at the plasma membrane via palmitoylation. CatC is phosphorylated mainly at Tyr-210 and is activated by STRK1. The phosphorylation mimic form CatCY210D exhibits higher catalase activity both in vitro and in planta, and salt stress enhances STRK1-mediated tyrosine phosphorylation on CatC. Compared with wild-type plants, STRK1-overexpressing plants exhibited higher catalase activity and lower accumulation of H2O2 as well as higher tolerance to salt and oxidative stress. Our findings demonstrate that STRK1 improves salt and oxidative tolerance by phosphorylating and activating CatC and thereby regulating H2O2 homeostasis. Moreover, overexpression of STRK1 in rice not only improved growth at the seedling stage but also markedly limited the grain yield loss under salt stress conditions. Together, these results offer an opportunity to improve rice grain yield under salt stress.

Blockchain-driven supply chain finance (SCF) has become an emerging supply chain financing mode. Compared with the traditional SCF mode, blockchain-driven SCF can shorten the transaction process and provide real trade data that cannot be tampered with, thereby improving the efficiency of capital operation. This article explores the financing and coordination problems of a blockchain-driven supply chain. Based on the three most common supply chain contracts (revenue-sharing contract, profit-sharing contract, and two-part tariff contract), we construct a comparative model of bank credit financing (BCF) and blockchain-driven SCF, discuss the optimal decision-making strategy of the supply chain, and quantitatively analyze the performance of supply chain under each mode. The results show the following: (i) there is a threshold for the usage rate of the blockchain-driven SCF platform; (ii) only when the platform usage rate is lower than the threshold, the blockchain-driven SCF mode which benefits both manufacturer and retailer is a better choice; (iii) the above results always hold if supply chain contracts can coordinate the supply chain in terms of quantity decisions; (iv) the blockchain-driven SCF mode is more efficient for supply chains which are less capital-constrained. This article provides a decision basis for the selection of supply chain financing channels and provides an idea for future research on blockchain-driven SCF.

Type 2 diabetes mellitus (T2DM) is a chronic metabolic disease characterized by hyperglycemia. The fruits of Zanthoxylum bungeanum Maxim. is a common spice and herbal medicine in China, and hydroxy-α-sanshool (HAS) is the most abundant amide in Z. bungeanum and reported to have significant hypoglycemic effects. The purpose of this study was to evaluate the ameliorative effects of HAS on T2DM and the potential mechanisms responsible for those effects. An acute toxicity test revealed the median lethal dose (LD50) of HAS is 73 mg/kg. C57BL/6 J mice were fed a high-fat diet and given an intraperitoneal injection of streptozotocin (STZ) to induce T2DM in mice to evaluate the hypoglycemic effects of HAS. The results showed that HAS significantly reduced fasting blood glucose, reduced pathological changes in the liver and pancreas, and increased liver glycogen content. In addition, glucosamine (GlcN)-induced HepG2 cells were used to establish an insulin resistance cell model and explore the molecular mechanisms of HAS activity. The results demonstrated that HAS significantly increases glucose uptake and glycogen synthesis in HepG2 cells and activates the PI3K/Akt pathway in GlcN-induced cells, as well as increases GSK-3β phosphorylation, suppresses phosphorylation of glycogen synthase (GS) and increases glycogen synthesis in liver cells. Furthermore, these effects of HAS were blocked by the PI3K inhibitor LY294002. The results of our study suggest that HAS reduces hepatic insulin resistance and increases hepatic glycogen synthesis by activating the PI3K/Akt/GSK-3β/GS signaling pathway.

Ferroptosis, a regulated form of cellular death characterized by the iron-mediated accumulation of lipid peroxides, provides a novel avenue for delving into the intersection of cellular metabolism, oxidative stress, and disease pathology. We have witnessed a mounting fascination with ferroptosis, attributed to its pivotal roles across diverse physiological and pathological conditions including developmental processes, metabolic dynamics, oncogenic pathways, neurodegenerative cascades, and traumatic tissue injuries. By unraveling the intricate underpinnings of the molecular machinery, pivotal contributors, intricate signaling conduits, and regulatory networks governing ferroptosis, researchers aim to bridge the gap between the intricacies of this unique mode of cellular death and its multifaceted implications for health and disease. In light of the rapidly advancing landscape of ferroptosis research, we present a comprehensive review aiming at the extensive implications of ferroptosis in the origins and progress of human diseases. This review concludes with a careful analysis of potential treatment approaches carefully designed to either inhibit or promote ferroptosis. Additionally, we have succinctly summarized the potential therapeutic targets and compounds that hold promise in targeting ferroptosis within various diseases. This pivotal facet underscores the burgeoning possibilities for manipulating ferroptosis as a therapeutic strategy. In summary, this review enriched the insights of both investigators and practitioners, while fostering an elevated comprehension of ferroptosis and its latent translational utilities. By revealing the basic processes and investigating treatment possibilities, this review provides a crucial resource for scientists and medical practitioners, aiding in a deep understanding of ferroptosis and its effects in various disease situations.

Traditional soaking plum wine production is time-consuming and often results in high levels of bitter amygdalin and toxic cyanide, posing health risks. In this study, response surface methodology (RSM) with a Box–Behnken design was employed to optimize pulsed electric field (PEF) parameters, developing a novel process integrating kernel detoxification and PEF pretreatment to mitigate these hazards, enhance the characteristic aroma (benzaldehyde), and shorten the maceration cycle. The experimental results showed that the contents of bitter amygdalin and cyanide in plum kernels after detoxification and PEF pretreatment were reduced by 62.34% and 59.62%, respectively, compared with the control group, and the contents of both were further reduced with the addition of plum flesh for further soaking in the new process. In addition, the PEF pretreatment also increased the amount of benzaldehyde extracted by 4.63% compared to the control group and resulted in a 10.53% reduction in equilibration time. Moreover, compared to the previous whole-fruit maceration process, the new process resulted in a 37.5% reduction in the final plum wine production cycle. This study provides a practical solution for improving the safety and efficiency of plum wine production and supports the industrial application of PEF technology.

Lactate has emerged as a key regulator in the tumor microenvironment (TME), influencing both tumor progression and immune dynamics. As a byproduct of aerobic glycolysis, lactate satisfies the metabolic needs of proliferating tumor cells while reshaping the TME to facilitate immune evasion. Elevated lactate levels inhibit effector immune cells such as CD8 + T and natural killer cells, while supporting immunosuppressive cells, such as regulatory T cells and myeloid-derived suppressor cells, thus fostering an immunosuppressive environment. Lactate promotes epigenetic reprogramming, stabilizes hypoxia-inducible factor-1α, and activates nuclear factor kappa B, leading to further immunological dysfunction. In this review, we examined the role of lactate in metabolic reprogramming, immune suppression, and treatment resistance. We also discuss promising therapeutic strategies targeting lactate metabolism, including lactate dehydrogenase inhibitors, monocarboxylate transporter inhibitors, and TME neutralization methods, all of which can restore immune function and enhance immunotherapy outcomes. By highlighting recent advances, this review provides a theoretical foundation for integrating lactate-targeted therapies into clinical practice. We also highlight the potential synergy between these therapies and current immunotherapeutic strategies, providing new avenues for addressing TME-related challenges and improving outcomes for patients with cancer.

The advent of digital economy has had a significant impact on the scale and quality of employment. This study employs a regional characteristic analysis to investigate the impact of DE development on employment quantity and quality. Additionally, the effect of DE advancement on employment levels is examined, with emphasis on the associated changes in quality. The results demonstrate that the progression of the DE exerts a dual influence on the overall employment landscape, encompassing both a “creation effect” and a “substitution effect.” However, the “creation effect” is identified as the predominant influence. The advancement of the DE has the potential to markedly enhance the quality of regional employment opportunities. The impact of digital economic development on regional employment income and security is contingent upon the level of development. The DE has a beneficial effect on the stability of employment in the eastern and central regions. Nevertheless, in the western region, the impact is less significant, with the level of employment security exhibiting a lagging phenomenon. Therefore, this study proposes a series of policy recommendations, including the acceleration of digital economic development, the expansion of new employment opportunities, enhancement of digital skills among the labor force, and the improvement of the social welfare system for workers.

Pharmacophores are abstractions of essential chemical interaction patterns, holding an irreplaceable position in drug discovery. Despite the availability of many pharmacophore tools, the adoption of deep learning for pharmacophore-guided drug discovery remains relatively rare. We herein propose a knowledge-guided diffusion framework for ‘on-the-fly’ 3D ligand-pharmacophore mapping, named DiffPhore. It leverages ligand-pharmacophore matching knowledge to guide ligand conformation generation, meanwhile utilizing calibrated sampling to mitigate the exposure bias of the iterative conformation search process. By training on two self-established datasets of 3D ligand-pharmacophore pairs, DiffPhore achieves state-of-the-art performance in predicting ligand binding conformations, surpassing traditional pharmacophore tools and several advanced docking methods. It also manifests superior virtual screening power for lead discovery and target fishing. Using DiffPhore, we successfully identify structurally distinct inhibitors for human glutaminyl cyclases, and their binding modes are further validated through co-crystallographic analysis. We believe this work will advance the AI-enabled pharmacophore-guided drug discovery techniques. The authors develop a deep learning framework for 3D ligand pharmacophore mapping, enabling binding pose prediction, lead discovery, and target fishing. Using this approach, they identify structurally different inhibitors for human glutaminyl cyclases.