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Surface‑Alloyed Nanoporous Zinc as Reversible and Stable Anodes for High‑Performance Aqueous Zinc‑Ion Battery

Nano-Micro Letters 2022年第8期14卷 58-71页

作者： Huan Meng Qing Ran tian-yi dai Hang Shi Shu-Pei Zeng Yong-Fu Zhu Zi Wen Wei Zhang Xing-You Lang Wei-Tao Zheng Qing Jiang Key Laboratory of Automobile Materials(Jilin University) Ministry of EducationSchool of Materials Science and Engineeringand Electron Microscopy CenterJilin UniversityChangchun 130022People’s Republic of China State Key Laboratory of Automotive Simulation and Control Jilin UniversityChangchun 130022People’s Republic of China

Metallic zinc(Zn)is one of the most attractive multivalent-metal anode materials in post-lithium batteries because of its high abundance,low cost and high theoretical capacity.However,it usually suffers from large voltage polarization,low Coulombic efficiency and high propensity for dendritic failure during Zn stripping/plating,hindering the practical application in aqueous rechargeable zinc-metal batteries(AR-ZMBs).Here we demonstrate that anionic surfactant-assisted in situ surface alloying of Cu and Zn remarkably improves Zn reversibility of 3D nanoporous Zn electrodes for potential use as high-performance AR-ZMB anode materials.As a result of the zincophilic ZnxCuy alloy shell guiding uniform Zn deposition with a zero nucleation overpotential and facilitating Zn stripping via the ZnxCuy/Zn galvanic couples,the self-supported nanoporous ZnxCuy/Zn electrodes exhibit superior dendrite-free Zn stripping/plating behaviors in ambient aqueous electrolyte,with ultralow polarizations under current densities up to 50 mA cm^(‒2),exceptional stability for 1900 h and high Zn utilization.This enables AR-ZMB full cells constructed with nanoporous ZnxCuy/Zn anode and K_(z)MnO_(2)cathode to achieve specific energy of as high as~430 Wh kg^(‒1)with~99.8%Coulombic efficiency,and retain~86%after long-term cycles for>700 h.

关键词： Nanoporous metal Zinc-based alloy anode Aqueous zinc-ion batteries Surface alloying

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Phenolic compounds from Moringa oleifera Lam.: Extraction， separation and identification， biological activities， and comprehensive applications

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Food Science and Human Wellness 2023年

作者： Liang Tao Zi-Lin Wang Min Yang Xin-Rui Kang Jia-He dai Cun-Chao Zhao tian-yi dai Jun Sheng Yang tian Puer University National Research and Development Professional Center for Moringa Processing Technology Yunnan Agricultural University Engineering Research Center of Development and Utilization of Food and Drug Homologous Resources Ministry of Education Yunnan Agricultural University Yunnan Provincial Engineering Research Center for Edible and Medicinal Homologous Functional Food Yunnan Agricultural University College of Food Science and Technology Yunnan Agricultural University

Moringa oleifera Lam. (M. oleifera Lam) is a Moringa genus in the Moringaceae family that is high in nutrients and has a wide range of applications. Phenolic compounds are widely found in plants and have various health benefits for the human body. With its high content and wide variety of phenolic compounds， M. oleifera Lam has been widely studied for its health benefits. The phenolic compounds in M. oleifera Lam (MOPCs) can be a potential source of functional food ingredients in pharmaceutical and industrial applications. Numerous studies have shown that MOPCs have antioxidant， anti-obesity， anti-diabetic， and antibacterial effects. Although the research on MOPCs has been gradually increasing， the extraction， isolation， identification， biological activities， and comprehensive application of MOPCs need a more systematic summary and generalization. Therefore， this paper reviews the isolation and extraction methods， structure identification， biological activities， and comprehensive applications to provide a further reference for the research and application of MOPCs.

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密度泛函理论在氮还原反应催化剂设计中的应用进展

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Science China Materials 2024年第4期67卷 1101-1123页

作者：代天一杨春成蒋青 Key Laboratory of Automobile Materials Ministry of Educationand School of Materials Science and EngineeringJilin UniversityChangchun 130022China

发展电化学氮气还原反应(NRR)的合成氨技术可以有效缓解工业上的哈伯-博什法合成氨的化石燃料消耗与碳排放问题.同时,氨是一种无碳的能源载体,NRR可以实现可再生能源的转换,因此具有广阔的发展前景.然而,高效催化剂的缺乏限制了NRR技术... 详细信息

发展电化学氮气还原反应(NRR)的合成氨技术可以有效缓解工业上的哈伯-博什法合成氨的化石燃料消耗与碳排放问题.同时,氨是一种无碳的能源载体,NRR可以实现可再生能源的转换,因此具有广阔的发展前景.然而,高效催化剂的缺乏限制了NRR技术的发展.为此,人们对开发高效催化剂进行了广泛的探索,其中密度泛函理论(DFT)计算在辅助催化剂设计方面发挥了重要作用.在本综述中,我们总结了最近的催化剂设计策略,这些策略的目的是提高NRR的催化活性和选择性.此外,本综述还回顾了具有代表性的计算工作,并对进一步改善催化性能提出了见解.最后,本综述简要讨论了通过DFT计算进行催化剂设计所面临的挑战和机遇.目的在于指导人们采用更有效的设计策略来实现高效的NRR过程.

关键词：催化剂设计高效催化剂可再生能源能源载体反应催化剂燃料消耗 DFT计算还原反应

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Epileptic brain network mechanisms and neuroimaging techniques for the brain network

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Neural Regeneration Research 2024年第12期19卷 2637-2648页

作者： yi Guo Zhonghua Lin Zhen Fan Xin tian Department of Neurology Sichuan Provincial People’s HospitalUniversity of Electronic Science and Technology of ChinaChengduSichuan ProvinceChina Sichuan Provincial Center for Mental Health Sichuan Provincial People’s HospitalUniversity of Electronic Science and Technology of ChinaChengduSichuan ProvinceChina Department of Geriatrics Sichuan Provincial People’s HospitalUniversity of Electronic Science and Technology of ChinaChengduSichuan ProvinceChina Department of Neurology Chongqing Key Laboratory of NeurologyThe First Affiliated Hospital of Chongqing Medical UniversityChongqingChina

Epilepsy can be defined as a dysfunction of the brain network,and each type of epilepsy involves different brain-network changes that are implicated diffe rently in the control and propagation of interictal or ictal discharges.Gaining more detailed information on brain network alterations can help us to further understand the mechanisms of epilepsy and pave the way for brain network-based precise therapeutic approaches in clinical practice.An increasing number of advanced neuroimaging techniques and electrophysiological techniques such as diffusion tensor imaging-based fiber tra ctography,diffusion kurtosis imaging-based fiber tractography,fiber ball imagingbased tra ctography,electroencephalography,functional magnetic resonance imaging,magnetoencephalography,positron emission tomography,molecular imaging,and functional ultrasound imaging have been extensively used to delineate epileptic networks.In this review,we summarize the relevant neuroimaging and neuroelectrophysiological techniques for assessing structural and functional brain networks in patients with epilepsy,and extensively analyze the imaging mechanisms,advantages,limitations,and clinical application ranges of each technique.A greater focus on emerging advanced technologies,new data analysis software,a combination of multiple techniques,and the construction of personalized virtual epilepsy models can provide a theoretical basis to better understand the brain network mechanisms of epilepsy and make surgical decisions.

关键词： electrophysiological techniques epilepsy functional brain network functional magnetic resonance imaging functional near-infrared spectroscopy machine leaning molecular imaging neuroimaging techniques structural brain network virtual epileptic models

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Iridoids modulate inflammation in diabetic kidney disease: A review

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Journal of Integrative Medicine 2024年第3期22卷 210-222页

作者： Tong-yi Zhou Na tian Liu Li Rong Yu The First Clinical College of Chinese Medicine Hunan University of Chinese MedicineChangsha 410208Hunan ProvinceChina Hunan Provincial Key Laboratory of Translational Research in Traditional Chinese Medicine Prescriptions and Zheng Changsha 410208Hunan ProvinceChina

In recent years,preclinical research on diabetic kidney disease (DKD) has surged to the forefront of scientific and clinical attention.DKD has become a pervasive complication of type 2 diabetes.Given the complexity of its etiology and pathological mechanisms,current interventions,including drugs,dietary modifications,exercise,hypoglycemic treatments and lipid-lowering methods,often fall short in achieving desired therapeutic outcomes.Iridoids,primarily derived from the potent components of traditional herbs,have been the subject of long-standing research.Preclinical data suggest that iridoids possess notable renal protective properties;however,there has been no summary of the research on their efficacy in the management and treatment of DKD.This article consolidates findings from in vivo and in vitro research on iridoids in the context of DKD and highlights their shared anti-inflammatory activities in treating this condition.Additionally,it explores how certain iridoid components modify their chemical structures through the regulation of intestinal flora,potentially bolstering their therapeutic effects.This review provides a focused examination of the mechanisms through which iridoids may prevent or treat DKD,offering valuable insights for future research endeavors.

关键词： Diabetic kidney disease Iridoids Gut-kidney axis Traditional Chinese medicine monomer Inflammation

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Characteristics and Risk Factors for Pediatric Sepsis

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Current Medical Science 2024年第3期44卷 648-656页

作者： Yong-bing ZHU Tong-lin LIU Qi dai Shu-fan LIU Peng XIONG Hao HUANG yi YUAN tian-nan ZHANG Yu CHEN Department of Pediatric Intensive Care Unit Tongji HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan430030China

Objective Sepsis is considered a major cause of health loss in children and had high mortality and morbidity.Currently,there is no reliable model for predicting the prognosis of pediatric patients with sepsis.This study aimed to analyze the clinical characteristics of sepsis in children and assess the risk factors associated with poor prognosis in pediatric sepsis patients to identify timely interventions and improve their outcomes.Methods This study analyzed the clinical indicators and laboratory results of septic patients hospitalized in the Pediatric Intensive Care Unit of Tongji Hospital,Tongji Medical College,Huazhong University of Science and Technology,China,from January 1,2019,to December 31,2021.Risk factors for sepsis were identified by logistic regression analyses.Results A total of 355 children with sepsis were enrolled,with 333 children(93.8%)in the good prognosis group,and 22 children(6.2%)in the poor prognosis group.Among them,there were 255 patients(71.8%)in the sepsis group,and 100 patients(28.2%)in the severe sepsis group.The length of hospital stay in the poor prognosis group was longer than that in the good prognosis group(P0.05),and the platelet(PLT),albumin(ALB),and hemoglobin(Hb)levels were lower in the poor prognosis group(P<0.01).The IL-8 levels in the severe sepsis group were higher than those in the sepsis group(P<0.05).Multiple logistic regression analysis suggested that lower Hb levels,ALB levels,peak PLT counts,and higher IL-1βlevels were independent risk factors for poor prognosis in children with sepsis.Conclusion Lower Hb,ALB,and PLT counts and elevated IL-1βare independent risk factors for poor prognosis in children with sepsis.

关键词： pediatric sepsis inflammation severity prognosis risk factors

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Assessing recent recurrence after hepatectomy for hepatitis Brelated hepatocellular carcinoma by a predictive model based on sarcopenia

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World Journal of Gastroenterology 2024年第12期30卷 1727-1738页

作者： Hong Peng Si-yi Lei Wei Fan Yu dai yi Zhang Gen Chen Ting-Ting Xiong tian-Zhao Liu Yue Huang Xiao-Feng Wang Jin-Hui Xu Xin-Hua Luo Department of Infectious Diseases Guizhou Provincial People’s HospitalGuiyang 550002Guizhou ProvinceChina Department of Hepatobiliary Surgery Guizhou Provincial People’s HospitalGuiyang 550002Guizhou ProvinceChina

BACKGROUND Sarcopenia may be associated with hepatocellular carcinoma(HCC)following hepatectomy.But traditional single clinical variables are still insufficient to predict recurrence.We still lack effective prediction models for recent recurrence(time to recurrence5 cm(HR=2.222,95%CI:1.285-3.842,P<0.05),and hepatitis B virus DNA level≥2000 IU/mL(HR=2.1,95%CI:1.407-3.135,P<0.05)were independent risk factors associated with postoperative recurrence of HCC.Based on the sarcopenia to assess the RFS model of hepatectomy with hepatitis B-related liver cancer disease(SAMD)was established combined with other the above risk factors.The area under the curve of the SAMD model was 0.782(95%CI:0.705-0.858)in the training cohort(sensitivity 81%,specificity 63%)and 0.773(95%CI:0.707-0.838)in the validation cohort.Besides,a SAMD score≥110 was better to distinguish the high-risk group of postoperative recurrence of HCC.CONCLUSION Sarcopenia is associated with recent recurrence after hepatectomy for hepatitis B-related HCC.A nutritional status-based prediction m

关键词： Alpha-fetoprotein Hepatitis B virus Hepatectomy Hepatocellular carcinoma Nomogram Predictive models Recurrence Recurrence-free survival Risk factors Sarcopenia

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Dcalycinumines A-E,Alkaloids with Cytotoxic Activities of Nasopharyngeal Carcinoma Cells from Daphniphyllum calycinum

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Chinese Journal of Chemistry 2024年第1期42卷 35-42页

作者： Qing Tang Xiao-Yong dai Qiang Lin Zhi-Peng Ling yi-Kun Hao tian-Xi Zhu Ji-Hui Zhang yi-Bo Hou Yao-Lan Li Lai-Qiang Huang Jing-Hao Wang Guo-Cai Wang Yu-Bo Zhang Guangdong Clinical Translational Centerfor Targeted Drug Department of PharmacologySchoolof MedicineJinan University GuangzhouGuangdong 510632China Institute of Traditional Chinese Medicine&Natural Products Guangdong Province Key Laboratory of Pharmacodynamic Constituents of TCM and New Drugs ResearchCollegeof PharmacyJinan UniversityGuangzhouGuangdong511443China Institute of Biopharmaceutical and Health Engineering Shenzhen Key Laboratory of Gene and Antibody TherapyState Key Laboratory of Chemical OncogenomicsShenzhen International Graduate SchoolTsinghua UniversityShenzhenGuangdong 518055China The Guangzhou Key Laboratoryof Basic and Translational Research on Chronic Disease Department of PharmacyThe First Affiliated HospitalJinan UniversityGuangzhouGuangdong 510630China

Fivenovel Daphniphyllum alkaloids,named dcalycinumines A-E(1-4,6),andeight previously described Daphniphyllum alkaloids(5,7-13)were isolated from Daphniphyllum calycinum.Compound 1 is the first Daphniphyllum alkaloid possessing a highly rearranged 6/6/6/7/5/6 hexacyclic architecture with a unique 3-methyl-1-azabicyclo[4,4,0]decane ring system.Compound 2 represents a rare diamino Daphniphyllum alkaloid with an unprecedented 6/5/5/6/6/5 carbon skeleton featuring a unique 1-aza-6-azaspiro[4,5]decane unit,whereas 3 also represents a rare diamino Daphniphyllum alkaloid as a possible precursor of 2.Compound 4 is the second example of c-22-nor yuzurimine-type alkaloids.Their structures and absolute configurations were elucidated by HRESIMS,NMR spectroscopic analyses,EcD calculations,and single-crystal X-ray diffraction.Moreover,compound 1 showed remarkable antitumor activities,which could inhibit the proliferation,migration and invasion of nasopharyngeal carcinoma cells,and promoted nasopharyngeal carcinoma cells apoptosis.

关键词： Daphniphyllum calycinum Natural products Daphniphyllum alkaloid Structural elucidation Biological activity Apoptosis Nasopharyngealcarcinoma

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An analytical model of hot rolling force for a thick plate by combining globally optimal approximation yield criterion and egg-circular velocity field

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Journal of Iron and Steel Research(International) 2024年第3期31卷 647-659页

作者： Shun-hu Zhang yi Zhang Wen-hao tian Yan Li Shagang School of Iron and Steel Soochow UniversitySuzhou 215021JiangsuChina

For the sake of solving the problem that it is difficult to be integrated for the Mises specific plastic power due to its nonlinearity,a new linear criterion,named the globally optimal approximation criterion,is constructed by the polygonal approximation to the Mises circle.The new criterion is proved to be the linear function of the principal stress componentsσ1,σ2 andσ3 and the trajectory of it on theπ-plane is a non-equiangular but equilateral dodecagon intersecting the Mises circle.The theoretical results of the current criterion described by the Lode stress parameters are in excellent accordance with the experimental results.Meanwhile,according to the trend that the metallic flow velocity between rollers aggrandizes gradually from the inlet to the outlet during the hot rolling of a thick plate,a biomimetic velocity field is proposed in which the horizontal velocity component fits the egg-circular curve distribution.The velocity field and its simulated results agree quite well.Subsequently,using the determined linear criterion,energy analysis of the constructed velocity field is utilized to obtain the interior deformation power,while the vector decomposition approach is utilized to obtain the frictional power and shear power.On this basis,the overall power is obtained and the analytical solutions are generated for the rolling torque,rolling force and the coefficient of the stress state under different egg curves by minimizing the neutral angle.Furthermore,the parameter optimization of the characteristic parameterρwhich affects the slope of the egg-circular curve is carried out and the best egg-circular curve which can minimize the energy consumption is determined.The best agreement between the theoretical and observed values of rolling force and rolling torque is under this curve,and the mean relative errors of the rolling torque and rolling force are no more than 2.93%,while the maximum error is no more than 8.35%.

关键词： yield criterion Plastic deformation Rolling force Velocity field Analytical solution

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TSC prediction and dynamic control of BOF steelmaking with state-of-the-art machine learning and deep learning methods

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Journal of Iron and Steel Research(International) 2024年第1期31卷 174-194页

作者： tian-yi Xie Cai-dong Zhang Quan-lin Zhou Zhi-qiang tian Shuai Liu Han-jie Guo Material Technology Research Institute Hesteel GroupShijiazhuang050023HebeiChina Tangsteel Company Hesteel GroupTangshan063611HebeiChina School of Artificial Intelligence Beijing Technology and Business UniversityBeijing100048China School of Metallurgical and Ecological Engineering University of Science and Technology BeijingBeijing100083China

Mathematical(data-driven)models based on state-of-the-art(SOTA)machine learning and deep learning models and data collected from 12,786 heats were established to predict the values of temperature,sample,and carbon(TSC)test,including temperature of molten steel(TSC-Temp),carbon content(TSC-C)and phosphorus content(TSC-P),which made prepa-ration for eliminating the TSC test.To maximize the prediction accuracy of the proposed approach,various models with different inputs were implemented and compared,and the best models were applied to the production process of a Hesteel Group steelmaking plant in China in the field.The number of tabular features(hot metal information,scrap,additives,blowing practices,and preset values)was expanded,and time series(off-gas profiles and blowing practice curves)that could reflect the entire steelmaking process were introduced as inputs.First,the latest machine learning models(LightGBM,CatBoost,TabNet,and NODE)were used to make predictions with tabular features,and the best coefficient of determination R^(2)values obtained for TSC-P,TSC-C and TSC-Temp predictions were 0.435(LightGBM),0.857(Cat-Boost)and 0.678(LightGBM),respectively,which were higher than those of classic models(backpropagation and support vector machine).Then,making predictions was performed by using SOTA time series regression models(SCINet,DLinear,Informer,and MLSTM-FCN)with original time series,SOTA image regression models(NesT,CaiT,ResNeXt,and GoogLeNet)with resized time series,and the proposed Concatenate-Model and Parallel-Model with both tabular features and time series.Through optimization and comparisons,it was finally determined that the Concatenate-Model with MLSTM-FCN,SCINet and Informer as feature extractors performed the best,and its R^(2)values for predicting TSC-P,TSC-C and TSC-Temp reached 0.470,0.858 and 0.710,respectively.Its field test accuracies for TSC-P,TSC-C and TSC-Temp were 0.459,0.850 and 0.685,respectively.A related importance analysis was carried out,and dynamic control methods based on pred

关键词： BOF steelmaking In-blow prediction TSC test Machine learning Deep learning Field application

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