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| 1 | Tunable Ru-Ru2P heterostructures with charge redistribution for efficient pH-universal hydrogen evolution显示文摘Designing synergistic heterogeneous catalytic interfaces is the key to developing highly compatible pH-universal electrocatalysts for complex chemical environments.Our theoretical calculation results demonstrate that the Ru-Ru2P heterointerface can not only promote the redistribution of charges,but also reduce the d-band center,and then enhances the adsorption capacity of the key intermediate.However,in situ and facile synthesis of Ru-Ru2P heterostructures is severely limited by thermodynamic obstacles.Herein,we propose a molten salt-assisted catalytic synthesis scheme,and successfully build a series of homologous metallic Ru-Ru2P heterostructure catalysts with different molar ratios of Ru to P under atmospheric pressure and low-temperature(400C).The resultant Ru-Ru2P with rich heterostructures show the Pt-like HER performance in different pH media.Particularly,it is prominent under alkaline conditions(18 mV@10 mA cm^(2)),which outperforms the Pt catalyst(37 mV@10 mA cm^(2)).Furthermore,Ru-Ru2P heterostructures also show certain potential in the electrolysis of seawater to produce hydrogen.This work represents a significant supplement of high-efficiency pH-universal HER catalysts,and provides a new light on interface engineering in energy technology fields and beyond. | Ding Chen Ruohan Yu Ruihu Lu Zonghua Pu Pengyan Wang Jiawei Zhu Pengxia Ji Dulan Wu Jinsong Wu Yan Zhao Zongkui Kou Jun Yu Shichun Mu | 2022 | InfoMat2022，4，5： | 2 |
| 2 | Health benefits from the rapid reduction in ambient exposure to air pollutants after China’s clean air actions:progress in efficacy and geographic equality显示文摘Clean air actions(CAAs)in China have been linked to considerable benefits in public health.However,whether the beneficial effects of CAAs are equally distributed geographically is unknown.Using high-resolution maps of the distributions of major air pollutants(fine particulate matter[PM_(2.5)]and ozone[O_(3)])and population,we aimed to track spatiotemporal changes in health impacts from,and geographic inequality embedded in,the reduced exposures to PM_(2.5)and O_(3)from 2013 to 2020.We used a method established by the Global Burden of Diseases Study.By analyzing the changes in loss of life expectancy(LLE)attributable to PM_(2.5)and O_(3),we calculated the gain of life expectancy(GLE)to quantify the health benefits of the air-quality improvement.Finally,we assessed the geographic inequality embedded in the GLE using the Gini index(GI).Based on risk assessments of PM_(2.5)and O_(3),during the first stage of CAAs(2013 to 2017),the mean GLE was 1.87 months.Half of the sum of the GLE was disproportionally distributed in about one quarter of the population exposed(GI 0.44).During the second stage of CAAs(2017 to 2020),the mean GLE increased to 3.94 months and geographic inequality decreased(GI 0.18).According to our assessments,CAAs were enhanced,from the first to second stages,in terms of not only preventing premature mortality but also ameliorating health inequalities.The enhancements were related to increased sensitivity to the health effects of air pollution and synergic control of PM_(2.5)and O_(3)levels.Our findings will contribute to optimizing future CAAs. | Tao Xue Ruohan Wang Meng Wang Yanying Wang Dan Tong Xia Meng Conghong Huang Siqi Ai Fangzhou Li Jingyuan Cao Mingkun Tong Xueqiu Ni Hengyi Liu Jianyu Deng Hong Lu Wei Wan Jicheng Gong Shiqiu Zhang Tong Zhu | 2024 | National Science Review2024，11，2： | 0 |
| 3 | Tuning Active Metal Atomic Spacing by Filling of Light Atoms and Resulting Reversed Hydrogen Adsorption-Distance Relationship for Efficient Catalysis显示文摘Precisely tuning the spacing of the active centers on the atomic scale is of great significance to improve the catalytic activity and deepen the understanding of the catalytic mechanism,but still remains a challenge.Here,we develop a strategy to dilute catalytically active metal interatomic spacing(d_(M-M))with light atoms and discover the unusual adsorption patterns.For example,by elevating the content of boron as interstitial atoms,the atomic spacing of osmium(d_(Os-Os))gradually increases from 2.73 to 2.96?.More importantly,we find that,with the increase in dOs-Os,the hydrogen adsorption-distance relationship is reversed via downshifting d-band states,which breaks the traditional cognition,thereby optimizing the H adsorption and H_2O dissociation on the electrode surface during the catalytic process;this finally leads to a nearly linear increase in hydrogen evolution reaction activity.Namely,the maximum dOs-Os of 2.96?presents the optimal HER activity(8 mV@10 mA cm^(-2))in alkaline media as well as suppressed O adsorption and thus promoted stability.It is believed that this novel atomic-level distance modulation strategy of catalytic sites and the reversed hydrogen adsorption-distance relationship can shew new insights for optimal design of highly efficient catalysts. | Ding Chen Ruihu Lu Ruohan Yu Hongyu Zhao Dulan Wu Youtao Yao Kesong Yu Jiawei Zhu Pengxia Ji Zonghua Pu Zongkui Kou Jun Yu Jinsong Wu Shichun Mu | 2023 | Nano-Micro Letters2023，15，10： | 0 |
| 4 | Metabolic signatures and potential biomarkers for the diagnosis and treaeatment of colon cancer cachexia显示文摘Cancer cachexia(CAC)is a debilitating condition that often arises from noncachexia cancer(NCAC),with distinct metabolic characteristics and medical treatments.However,the metabolic changes and underlying molecular mechanisms during cachexia progression remain poorly understood.Understanding the progression of CAC is crucial for developing diagnostic approaches to distinguish between CAC and NCAC stages,facilitating appropriate treatment for cancer patients.In this study,we establish a mouse model of colon CAC and categorize the mice into three groups:CAC,NCAC and normal control(NOR).By performing nuclear magnetic resonance(NMR)-based metabolomic profiling on mouse sera,we elucidate the metabolic properties of these groups.Our findings unveil significant differences in the metabolic profiles among the CAC,NCAC and NOR groups,highlighting significant impairments in energy metabolism and amino acid metabolism during cachexia progression.Additionally,we observe the elevated serum levels of lysine and acetate during the transition from the NCAC to CAC stages.Using multivariate ROC analysis,we identify lysine and acetate as potential biomarkers for distinguishing between CAC and NCAC stages.These biomarkers hold promise for the diagnosis of CAC from noncachexia cancer.Our study provides novel insights into the metabolic mechanisms underlying cachexia progression and offers valuable avenues for the diagnosis and treatment of CAC in clinical settings. | Xu Qiu Ruohan Lu Qiqing He Shu Chen Caihua Huang Donghai Lin | 2023 | Acta Biochimica et Biophysica Sinica2023，55，12： | 0 |
| 5 | Penetration of foliar-applied Zn and its impact on apple plant nutrition status:in vivo evaluation by synchrotron-based X-ray fluorescence microscopy显示文摘The absorption of foliar fertilizer is a complex process and is poorly understood.The ability to visualize and quantify the pathway that elements take following their application to leaf surfaces is critical for understanding the science and for practical applications of foliar fertilizers.By the use of synchrotron-based X-ray fluorescence to analyze the in vivo localization of elements,our study aimed to investigate the penetration of foliar-applied Zn absorbed by apple(Malus domestica Borkh.)leaves with different physiological surface properties,as well as the possible interactions between foliar Zn level and the mineral nutrient status of treated leaves.The results indicate that the absorption of foliar-applied Zn was largely dependent on plant leaf surface characteristics.High-resolution elemental maps revealed that the high binding capacity of the cell wall for Zn contributed to the observed limitation of Zn penetration across epidermal cells.Trichome density and stomatal aperture had opposite effects on Zn fertilizer penetration:a relatively high density of trichomes increased the hydrophobicity of leaves,whereas the presence of stomata facilitated foliar Zn penetration.Low levels of Zn promoted the accumulation of other mineral elements in treated leaves,and the complexation of Zn with phytic acid potentially occurred owing to exposure to high-Zn conditions.The present study provides direct visual evidence for the Zn penetration process across the leaf surface,which is important for the development of strategies for Zn biofortification in crop species. | Ruohan Xie Jianqi Zhao Lingli Lu Patrick Brown Jiansheng Guo Shengke Tian | 2020 | Horticulture Research2020，7，1： | 0 |
| 6 | Inhibition of aryl hydrocarbon receptor signaling promotes the terminal differentiation of human erythroblasts显示文摘The aryl hydrocarbon receptor(AHR)plays an important role during mammalian embryo development.Inhibition of AHR signaling promotes the development of hematopoietic stem/progenitor cells.AHR also regulates the functional maturation of blood cells,such as T cells and megakaryocytes.However,little is known about the role of AHR modulation during the development of erythroid cells.In this study,we used the AHR antagonist StemRegenin 1(SR1)and the AHR agonist 2,3,7,8-tetrachlorodibenzo-p-dioxin during different stages of human erythropoiesis to elucidate the function of AHR.We found that antagonizing AHR signaling improved the production of human embryonic stem cell derived erythrocytes and enhanced erythroid terminal differentiation.RNA sequencing showed that SR1 treatment of proerythroblasts upregulated the expression of erythrocyte differentiation-related genes and downregulated actin organization-associated genes.We found that SR1 accelerated F-actin remodeling in terminally differentiated erythrocytes,favoring their maturation of the cytoskeleton and enucleation.We demonstrated that the effects of AHR inhibition on erythroid maturation were associated with F-actin remodeling.Our findings help uncover the mechanism for AHRmediated human erythroid cell differentiation.We also provide a new approach toward the large-scale production of functionally mature human pluripotent stem cell-derived erythrocytes for use in translational applications. | Yijin Chen Yong Dong Xulin Lu Wanjing Li Yimeng Zhang Bin Mao Xu Pan Xiaohong Li Ya Zhou Quanming An Fangxin Xie Shihui Wang Yuan Xue Xinping Cai Mowen Lai Qiongxiu Zhou Yan Yan Ruohan Fu Hong Wang Tatsutoshi Nakahata Xiuli An Lihong Shi Yonggang Zhang Feng Ma | 2022 | Journal of Molecular Cell Biology2022，14，2： | 0 |
| 7 | Comprehensive Information Security Evaluation Model Based on Multi-Level Decomposition Feedback for IoT显示文摘The development of the Internet of Things(IoT)calls for a comprehensive in-formation security evaluation framework to quantitatively measure the safety score and risk(S&R)value of the network urgently.In this paper,we summarize the architecture and vulnerability in IoT and propose a comprehensive information security evaluation model based on multi-level decomposition feedback.The evaluation model provides an idea for information security evaluation of IoT and guides the security decision maker for dynamic protection.Firstly,we establish an overall evaluation indicator system that includes four primary indicators of threat information,asset,vulnerability,and management,respectively.It also includes eleven secondary indicators of system protection rate,attack detection rate,confidentiality,availability,controllability,identifiability,number of vulnerabilities,vulnerability hazard level,staff organization,enterprise grading and service continuity,respectively.Then,we build the core algorithm to enable the evaluation model,wherein a novel weighting technique is developed and a quantitative method is proposed to measure the S&R value.Moreover,in order to better supervise the performance of the proposed evaluation model,we present four novel indicators includes residual risk,continuous conformity of residual risk,head-to-tail consistency and decrease ratio,respectively.Simulation results show the advantages of the proposed model in the evaluation of information security for IoT. | Jinxin Zuo Yueming Lu Hui Gao Ruohan Cao Ziyv Guo Jim Feng | 2020 | Computers, Materials & Continua2020，，10： | 0 |
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