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"Chen, Jian"
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Zhou Enlai : a life
\"Zhou Enlai, China's first premier, is overshadowed by Chairman Mao, but Zhou's influence in his own time and since has been vast. Chen Jian shows Zhou using his political and bureaucratic skills and centralism to mitigate the damage caused by Mao's radicalism and argues that Zhou created conditions for the post-Mao reforms that have made China a superpower.\"-- Provided by publisher.
Book
Corporate ESG and total factor productivity: Will the fulfillment of social responsibility sacrifice productivity?
With the increasing prominence of climate and energy issues, enterprises, as the micro-subjects of economic activities, need to pay attention to environmental responsibility to promote sustainable and high-quality economic development. However, one of the crucial controversies is whether enterprises will sacrifice efficiency to fulfill their environmental responsibilities. To try our best to answer the controversy, this paper explores the impact of ESG on total factor productivity and its mechanism. The research conclusion shows that Chinese enterprises fulfilling ESG responsibilities can improve staff efficiency, reduce financing costs, ease financing constraints, and increase innovation investment, thus effectively improving total factor productivity. Compared to non-state-owned enterprises, this effect is more significant in state-owned enterprises. In addition, the promotion of ESG construction on the total factor productivity of enterprises also presents specific acceleration characteristics. This shows that in the socialist market economy environment, there is an obvious \"social responsibility dividend\" in the implementation of the ESG concept by Chinese enterprises, which is helpful to enhance their long-term value and realize a win-win of social value and commercial value. The conclusions of this study help deal correctly with the relationship between business value and social value of enterprises and provide inspiration for promoting healthy and sustainable economic development.
Journal Article
قصة لاو تسي
يعرض الكتاب \"قصة لاو تسي\" حياته وتجاربه شبابه المبكر وتعلمه عند المعلم تشانغزونغ ورحلته نحو الجنوب وعمله كأمين أرشيف الإمبراطورية ورحلته نحو الغرب وعن الكتابة في ممر هانغو إضافة إلى تقديم لمحة عن الفترة التي عاش فيها لاو تسي والتحديات التي أجهها وتغلب عليها إذ يقدم الكتاب صورا واقعية عن الظروف الاجتماعية والاقتصادية التي سادت عصر الفيلسوف فقد هيمنت المنافسات بين النبلاء الإقطاعيين على الحياة السياسية مما تسبب بالكثير من المعاناة بين عامة الشعب وبالتالي أدى هذا الوضع إلى دفع الفلاسفة للبحث عن حلول مثالية وتقديمها للحكومات لتنفيذه.
Book
Timed hazard networks: Incorporating temporal difference for oncogenetic analysis
Oncogenetic graphical models are crucial for understanding cancer progression by analyzing the accumulation of genetic events. These models are used to identify statistical dependencies and temporal order of genetic events, which helps design targeted therapies. However, existing algorithms do not account for temporal differences between samples in oncogenetic analysis. This paper introduces Timed Hazard Networks (TimedHN), a new statistical model that uses temporal differences to improve accuracy and reliability. TimedHN models the accumulation process as a continuous-time Markov chain and includes an efficient gradient computation algorithm for optimization. Our simulation experiments demonstrate that TimedHN outperforms current state-of-the-art graph reconstruction methods. We also compare TimedHN with existing methods on a luminal breast cancer dataset, highlighting its potential utility. The Matlab implementation and data are available at https://github.com/puar-playground/TimedHN
Journal Article
Gut microbiota, circulating cytokines and dementia: a Mendelian randomization study
Background
Some studies have shown that gut microbiota may be associated with dementia. However, the causal effects between gut microbiota and different types of dementia and whether cytokines act as a mediator remain unclear.
Methods
Gut microbiota, cytokines, and five dementia types, including Alzheimer’s disease (AD), frontotemporal dementia (FTD), dementia with Lewy body (DLB), vascular dementia (VD), and Parkinson’s disease dementia (PDD) were identified from large-scale genome-wide association studies (GWAS) summary data. We used Mendelian randomization (MR) to investigate the causal relationships between gut microbiota, cytokines, and five types of dementia. Inverse variance weighting (IVW) was used as the main statistical method. In addition, we explored whether cytokines act as a mediating factor in the pathway from gut microbiota to dementia.
Results
There were 20 positive and 16 negative causal effects between genetic liability in the gut microbiota and dementia. Also, there were five positive and four negative causal effects between cytokines and dementias. Cytokines did not act as mediating factors.
Conclusions
Gut microbiota and cytokines were causally associated with five types of dementia, and cytokines seemed not to be the mediating factors in the pathway from gut microbiota to dementia.
Journal Article
LncRNA SNHG16 Functions as an Oncogene by Sponging MiR-4518 and Up-Regulating PRMT5 Expression in Glioma
Background/Aims: Long noncoding RNAs (lncRNAs) have recently emerged as novel and potentially promising therapeutic targets in various cancers. However, the expression pattern and biological function of lncRNAs in glioma remain largely elusive. In the present study, we investigated the functional role of an lncRNA, small nucleolar RNA host gene 16 (SNHG16), in glioma. Methods: The expression levels of SNHG16 and miR-4518 were measured using qRT-PCR. The relationship between the levels of SNHG16 and clinicopathologic features were statically analyzed. The levels of proteins were detected using western blot. Bioinformatics analysis and luciferase reporter assays were applied to the analysis of the relationship between SNHG16, miR-4518 and PRMT5. Cell viability and apoptosis were measured using MTT and apoptosis ELISA assay, respectively. Results: SNHG16 was highly expressed in glioma tissues and cell lines, which was related to poorer clinicopathologic features and shorter survival time. Knockdown of SNHG16 inhibits the viability and induces apoptosis of glioma cells. Further investigation revealed that SNHG16 could up-regulate the expression of miR-4518 targeted gene PRMT5 via acting as an endogenous sponge of miR-4518. Moreover, SNHG16 also affects the expression of Bcl-2 family proteins and the activation of PI3K/Akt signaling pathway. Conclusion: Our study revealed a novel SNHG16-miR-4518-PRMT5 pathway regulatory axis in glioma pathogenesis. SNHG16 could be used as a potential therapeutic target in the treatment of glioma.
Journal Article
Chemistry and Functions of Imported Fire Ant Venom
In the United States, imported fire ants are often referred to as red imported fire ants, Solenopsis invicta Buren, black imported fire ants, S. richteri Forel, and their hybrid (S. invicta × S. richteri). Due to their aggressive stings and toxic venom, imported fire ants pose a significant threat to public health, agriculture, and ecosystem health. However, venom plays a vital role in the survival of fire ants by serving various crucial functions in defense, foraging, and colony health maintenance. Numerous reviews and book chapters have been published on fire ant venom. Due to its medical importance and the expanding global distribution of these ants, fire ant venom research remains an active and highly productive area, leading to the discovery of new components and functions. This review summarizes the recent advances in our understanding of fire ant venom chemistry and its functions within fire ant colonies.
Journal Article
An integrated machine learning model enhances delayed graft function prediction in pediatric renal transplantation from deceased donors
Background
Kidney transplantation is the optimal renal replacement therapy for children with end-stage renal disease; however, delayed graft function (DGF), a common post-operative complication, may negatively impact the long-term outcomes of both the graft and the pediatric recipient. However, there is limited research on DGF in pediatric kidney transplant recipients. This study aims to develop a predictive model for the risk of DGF occurrence after pediatric kidney transplantation by integrating donor and recipient characteristics and utilizing machine learning algorithms, ultimately providing guidance for clinical decision-making.
Methods
This single-center retrospective cohort study includes all recipients under 18 years of age who underwent single-donor kidney transplantation at our hospital between 2016 and 2023, along with their corresponding donors. Demographic, clinical, and laboratory examination data were collected from both donors and recipients. Univariate logistic regression models and differential analysis were employed to identify features associated with DGF. Subsequently, a risk score for predicting DGF occurrence (DGF-RS) was constructed based on machine learning combinations. Model performance was evaluated using the receiver operating characteristic curves, decision curve analysis (DCA), and other methods.
Results
The study included a total of 140 pediatric kidney transplant recipients, among whom 37 (26.4%) developed DGF. Univariate analysis revealed that high-density lipoprotein cholesterol (HDLC), donor after circulatory death (DCD), warm ischemia time (WIT), cold ischemia time (CIT), gender match, and donor creatinine were significantly associated with DGF (
P
< 0.05). Based on these six features, the random forest model (mtry = 5, 75%p) exhibited the best predictive performance among 97 machine learning models, with the area under the curve values reaching 0.983, 1, and 0.905 for the entire cohort, training set, and validation set, respectively. This model significantly outperformed single indicators. The DCA curve confirmed the clinical utility of this model.
Conclusions
In this study, we developed a machine learning-based predictive model for DGF following pediatric kidney transplantation, termed DGF-RS, which integrates both donor and recipient characteristics. The model demonstrated excellent predictive accuracy and provides essential guidance for clinical decision-making. These findings contribute to our understanding of the pathogenesis of DGF.
Journal Article
HiC-Pro: an optimized and flexible pipeline for Hi-C data processing
HiC-Pro is an optimized and flexible pipeline for processing Hi-C data from raw reads to normalized contact maps. HiC-Pro maps reads, detects valid ligation products, performs quality controls and generates intra- and inter-chromosomal contact maps. It includes a fast implementation of the iterative correction method and is based on a memory-efficient data format for Hi-C contact maps. In addition, HiC-Pro can use phased genotype data to build allele-specific contact maps. We applied HiC-Pro to different Hi-C datasets, demonstrating its ability to easily process large data in a reasonable time. Source code and documentation are available at
http://github.com/nservant/HiC-Pro
.
Journal Article
A review on lithium-sulfur batteries: Challenge, development, and perspective
Lithium-sulfur (Li-S) battery is recognized as one of the promising candidates to break through the specific energy limitations of commercial lithium-ion batteries given the high theoretical specific energy, environmental friendliness, and low cost. Over the past decade, tremendous progress have been achieved in improving the electrochemical performance especially the lifespan by various strategies mainly concentrated on the sulfur cathodes. In this review, the fundamental electrochemistry of sulfur cathode and lithium anode is revealed to understand the current dilemmas. And the advances achieved through diverse strategies are comprehensively summarized, which involves lithium polysulfides (LiPSs) limitation, sulfur redox reaction regulation and electrocatalysis in sulfur cathode and artificial solid electrolyte interface (SEI), electrolyte design, and structured anode in lithium anode. Additionally, the differences between laboratory level coin cells and actual pouch cells need to be addressed that only few reports on practical Li-S pouch cell are available due to the unexpected problems on both sulfur cathode and lithium anode which are masked at lithium and electrolyte excess. Lastly, the challenges and perspective toward the practical Li-S batteries are also offered.
Journal Article