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Ultra‑Efficient and Cost‑Effective Platinum Nanomembrane Electrocatalyst for Sustainable Hydrogen Production

Nano-Micro Letters 2024年第6期16卷 95-110页

作者： Xiang Gao Shicheng Dai Yun Teng Qing wang Zhibo Zhang ziyin Yang Minhyuk Park Hang wang Zhe Jia Yunjiang wang Yong Yang Department of Mechanical Engineering College of EngineeringCity University of Hong KongTat Chee AvenueKowloon TongKowloonHong KongPeople’s Republic of China State Key Laboratory of Nonlinear Mechanics Institute of MechanicsChinese Academy of SciencesBeijingPeople’s Republic of China School of Engineering Science University of Chinese Academy of SciencesBeijingPeople’s Republic of China Laboratory for Microstructures Institute of MaterialsShanghai UniversityShanghaiPeople’s Republic of China School of Materials Science and Engineering Jiangsu Key Laboratory for Advanced Metallic MaterialsSoutheast UniversityNanjingPeople’s Republic of China Department of Materials Science and Engineering College of EngineeringCity University of Hong KongTat Chee AvenueKowloon TongKowloonHong KongPeople’s Republic of China

Hydrogen production through hydrogen evolution reaction(HER)offers a promising solution to combat climate change by replacing fossil fuels with clean energy sources.However,the widespread adoption of efficient electrocatalysts,such as platinum(Pt),has been hindered by their high cost.In this study,we developed an easy-to-implement method to create ultrathin Pt nanomembranes,which catalyze HER at a cost significantly lower than commercial Pt/C and comparable to non-noble metal electrocatalysts.These Pt nanomembranes consist of highly distorted Pt nanocrystals and exhibit a heterogeneous elastic strain field,a characteristic rarely seen in conventional crystals.This unique feature results in significantly higher electrocatalytic efficiency than various forms of Pt electrocatalysts,including Pt/C,Pt foils,and numerous Pt singleatom or single-cluster catalysts.Our research offers a promising approach to develop highly efficient and cost-effective low-dimensional electrocatalysts for sustainable hydrogen production,potentially addressing the challenges posed by the climate crisis.

关键词： Platinum Hydrogen evolution reaction Lattice distortion Heterogeneous strain

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Surface-targeted functionalization of nickel-rich cathodes through synergistic slurry additive approach with multi-level impact using minimal quantity

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Nano Research 2024年第1期17卷 333-343页

作者： Jing Zhang Jiapei Li Longhao Cao Wenhua Cheng ziyin Guo Xiuxia Zuo Chao wang Ya-Jun Cheng Yonggao Xia Yudai Huang State Key Laboratory of Chemistry and Utilization of Carbon Based Energy Resources College of ChemistryXinjiang UniversityUrumqi 830017China Ningbo Institute of Materials Technology&Engineering Chinese Academy of SciencesNingbo 315201China School of Materials Science and Engineering Tongji UniversityShanghai 200240China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijing 100049China

LiNi0.8Co0.1Mn0.1O_(2)(NCM811),a Ni-rich layered oxide,is a promising cathode material for high-energy density lithium-ion batteries(LIBs).However,its structural instability,caused by adverse phase transitions and continuous oxygen release,as well as deteriorated interfacial stability due to excessive electrolyte oxidative decomposition,limits its widespread application.To address these issues,a new concept is proposed that surface targeted precise functionalization(STPF)of the NCM811 cathode using a synergistic slurry additive(SSA)approach.This approach involves coating the NCM811 particle surface with 3-aminopropyl dimethoxy methyl silane(3-ADMS),followed by the precise deposition of ascorbic acid via an acid-base interaction.The slurry additives induce the formation of an ultra-thin spinel surface layer and a stable cathode–electrolyte interface(CEI),which enhances the electrochemical kinetics and inhibits crack propagation.The STPF strategy implemented by the SSA approach significantly improves the cyclic stability and rate performance of the NCM811 cathode in both half-cell and full-cell configurations.This work establishes a promising strategy to enhance the structural stability and electrochemical performance of nickel-rich cathodes and provides a feasible route to promote practical applications of high-energy density lithium-ion battery technology.

关键词： nickel-rich cathode slurry additive lithium-ion battery cathode–electrolyte interface ascorbic acid phase transition

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A VGGNet-based correction for satellite altimetry-derived gravity anomalies to improve the accuracy of bathymetry to depths of 6500 m

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Acta Oceanologica Sinica 2024年第1期43卷 112-122页

作者： Xiaolun Chen Xiaowen Luo ziyin Wu Xiaoming Qin Jihong Shang Huajun Xu Bin Li Mingwei wang Hongyang Wan Key Laboratory of Submarine Geosciences Second Institute of OceanographyMinistry of Natural ResourcesHangzhou 310012China Ocean College Zhejiang UniversityZhoushan 316021China Key Laboratory of Ocean Space Resources Management Technology Marine Academy of ZhejiangHangzhou 310012China School of Oceanography Shanghai Jiao Tong UniversityShanghai 200240China School of Civil Engineering and Architectures Zhejiang University of Science and TechnologyHangzhou 310023China National Center for Archaeology Beijing 100013China

Understanding the topographic patterns of the seafloor is a very important part of understanding our planet.Although the science involved in bathymetric surveying has advanced much over the decades,less than 20%of the seafloor has been precisely modeled to date,and there is an urgent need to improve the accuracy and reduce the uncertainty of underwater survey data.In this study,we introduce a pretrained visual geometry group network(VGGNet)method based on deep learning.To apply this method,we input gravity anomaly data derived from ship measurements and satellite altimetry into the model and correct the latter,which has a larger spatial coverage,based on the former,which is considered the true value and is more accurate.After obtaining the corrected high-precision gravity model,it is inverted to the corresponding bathymetric model by applying the gravity-depth correlation.We choose four data pairs collected from different environments,i.e.,the Southern Ocean,Pacific Ocean,Atlantic Ocean and Caribbean Sea,to evaluate the topographic correction results of the model.The experiments show that the coefficient of determination(R~2)reaches 0.834 among the results of the four experimental groups,signifying a high correlation.The standard deviation and normalized root mean square error are also evaluated,and the accuracy of their performance improved by up to 24.2%compared with similar research done in recent years.The evaluation of the R^(2) values at different water depths shows that our model can achieve performance results above 0.90 at certain water depths and can also significantly improve results from mid-water depths when compared to previous research.Finally,the bathymetry corrected by our model is able to show an accuracy improvement level of more than 21%within 1%of the total water depths,which is sufficient to prove that the VGGNet-based method has the ability to perform a gravity-bathymetry correction and achieve outstanding results.

关键词： gravity anomaly bathymetry inversion VGGNet multibeam sonar satellite altimetry

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Andrias davidianus bone peptides alleviates hyperuricemia-induced kidney damage in vitro and in vivo

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Food Science and Human Wellness 2024年第4期13卷 1886-1905页

作者： Wei Li Haihong Chen Hongliang Chen ziyin Li Wei Hu Qinxuan Zhou Bing Xu Yi wang Xinhui Xing Institute of Biopharmaceutical and Health Engineering Tsinghua Shenzhen International Graduate SchoolShenzhen 518055China Institute of Biomedical Health Technology and Engineering Shenzhen Bay LaboratoryShenzhen 440300China Key Laboratory for Industrial Biocatalysis Ministry of EducationInstitute of Biochemical EngineeringDepartment of Chemical EngineeringBeijing 100084China Center for Synthetic and Systems Biology Tsinghua UniversityBeijing 100084China Affiliated Dongguan Hospital Southern Medical University(Dongguan People’s Hospital)Dongguan 523059China

Hyperuricemia(HUA)is a vital risk factor for chronic kidney diseases(CKD)and development of functional foods capable of protecting CKD is of importance.This paper aimed to explore the amelioration effects and mechanism of Andrias davidianus bone peptides(ADBP)on HUA-induced kidney damage.In the present study,we generated the standard ADBP which contained high hydrophobic amino acid and low molecular peptide contents.In vitro results found that ADBP protected uric acid(UA)-induced HK-2 cells from damage by modulating urate transporters and antioxidant defense.In vivo results indicated that ADBP effectively ameliorated renal injury in HUA-induced CKD mice,evidenced by a remarkable decrease in serum UA,creatinine and blood urea nitrogen,improving kidney UA excretion,antioxidant defense and histological kidney deterioration.Metabolomic analysis highlighted 14 metabolites that could be selected as potential biomarkers and attributed to the amelioration effects of ADBP on CKD mice kidney dysfunction.Intriguingly,ADBP restored the gut microbiome homeostasis in CKD mice,especially with respect to the elevated helpful microbial abundance,and the decreased harmful bacterial abundance.This study demonstrated that ADBP displayed great nephroprotective effects,and has great promise as a food or functional food ingredient for the prevention and treatment of HUA-induced CKD.

关键词： Andrias davidianus bone peptides Hyperuricemia Uric acid Chronic kidney disease Gut microbiota

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Low-complexity model predictive control of a four-level active neutral point clamped inverter without weighting factors

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Transportation Safety and Environment 2024年第2期6卷 96-103页

作者： Chaoqun Xiang ziyin Fan Songyang Jiang Xinan Zhang Shu Cheng School of Traffic and Transportation Engineering Central South UniversityChangsha 410075HunanChina CRRC Dalian Electric Traction R&D Center Co. LtdDalian 116200LiaoningChina School of Engineering The University of Western AustraliaPerthWA 6009Australia

The four-level active neutral point clamped(ANPC)inverter has become increasingly widely used in the renewable energy indus-try since it offers one more voltage level without increasing the total number of active switches compared to the three-level ANPC inverter.The model predictive current control(MPCC)is a promising control method for multi-level inverters.However,the conven-tional MPCC suffers from high computational complexity and tedious weighting factor tuning in multi-level inverter applications.A low-complexity MPCC without weighting factors for a four-level ANPC inverter is proposed in this paper.The computational burden and voltage vector candidate set are reduced according to the relationship between voltage vector and neutral point voltage balance.The proposed MPCC shows excellent steady-state and dynamics performances while ensuring the neutral point voltage balancing.The efficacy of the proposed MPCC is verified by simulation and experimental results.

关键词： four-level active neutral point clamped(ANPC)inverter model predictive current control(MPCC) low complexity without weighting factors

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Research Article Dynamically crosslinked nanocapsules for the efficient and serumresistant cytosolic protein delivery

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Nano Research 2024年第3期17卷 1760-1771页

作者： Qiang Yang Ningyu Liu ziyin Zhao Xun Liu Lichen Yin Institute of Functional Nano and Soft Materials(FUNSOM) Jiangsu Key Laboratory of Carbon-Based Functional Materials and DevicesSoochow UniversitySuzhou 215123China Department of Thoracic Surgery The Second Affiliated Hospital of Soochow UniversitySuzhou 215004China

Intracellular protein delivery is critical to the development of protein-based biopharmaceuticals and therapies.However,current delivery vectors often suffer from complicated syntheses,low generality among various proteins,and insufficient serum stability.Herein,we developed an enlightened cytosolic protein delivery strategy by dynamically crosslinking epigallocatechin gallate(EGCG),low-molecular-weight polyethylenimine(PEI 1.8k),and 2-acetylphenylboric acid(2-APBA)on the protein surface,hence forming the EPP-protein nanocapsules(NCs).EGCG enhanced protein encapsulation via hydrogen bonding,and reduced the positive charge density of PEI to endow the NCs with high serum tolerance,thereby enabling effective cellular internalization in serum.The formation of reversible imine and boronate ester among 2-APBA,EGCG,and PEI 1.8k allowed acid-triggered dissociation of EPP-protein NCs in the endolysosomes,which triggered efficient intracellular release of the native proteins.Such strategy therefore showed high efficiency and universality for diversities of proteins with different molecular weights and isoelectric points,including enzyme,toxin,antibody,and CRISPR(clustered regularly interspaced short palindromic repeats)-Cas9 ribonucleoprotein(RNP),outperforming the commercial protein transduction reagent PULSin and RNP transfection reagent lipofectamine CMAX.Moreover,intravenously(i.v.)injected EPP-saporin NCs efficiently delivered saporin into 4T1 tumor cells to provoke robust antitumor effect.This simple,versatile,and robust cytosolic protein delivery system holds translational potentials for the development of protein-based therapeutics.

关键词： nanocapsules dynamic crosslinking cytosolic protein delivery serum resistance antitumor therapy genome editing

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Long-term agricultural contamination shaped diversity response of sediment microbiome

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Journal of Environmental Sciences 2021年第1期33卷 90-99页

作者： Lei Zhang ziyin wang Hua Cai Wenxuan Lu Jing Li School of Civil Engineering and Architecture Chuzhou UniversityChuzhou 239000China Nanjing Institute of Geography and Limnology Chinese Academy of SciencesNanjing 210008China Fisheries Research Institute Anhui Academy of Agricultural SciencesHefei 230036China

The pollution caused by agricultural production poses a threat to the ecological integrity of river ecosystems,altering the structure and function of river ecosystems.Differences in microbial community structure provide useful information about the impact of agricultural pollution on the biological integrity of ecosystems,but generally convey little information regarding ecosystem functions.In this study,using Illumina MiSeq sequencing technology based on the 16 S rRNA gene,river sediment samples associated with four different types of agricultural pollution were comprehensively analyzed.The results show that the total organic carbon(TOC)content was highest at the YZS site(animal husbandry sewage)among the assayed sites,but the species richness and uniformity were lowest at this site,which may have been caused by the high nutrient source of the sewage.Furthermore,in the three YZS samples affected by the long-term discharge of aquaculture tail-water,the unique genus Dechloromonas and the genus Candidatus-Competitor were observed,which are strongly correlated with phosphorus conversion.The formation of network modules may correspond to the coexistence of functional bacteria accustomed to multiple niche combinations under different agricultural pollution conditions in river sediments.According to the PICRUSt functional prediction,the bacterial community in the agricultural polluted river sediment primarily harbored 46 subfunctions,exhibiting richness of functions.Overall,our results provide a more comprehensive understanding of the structure and ecological processes associated with the aggregation of bacterial communities,which is beneficial for the management of river environments.

关键词： Agricultural pollution Bacterial community Illumina miseq sequencing Co-occurrence patterns Functional prediction

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知识产权司法保护专门化与企业数字创新

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系统工程理论与实践 2024年第5期44卷 1501-1521页

作者：郑攀攀庄子银武汉大学经济与管理学院武汉430072 湖北大学商学院武汉430062

文章以2008–2020年A股上市公司为研究对象,创新性地构建企业数字创新指数,实证检验了知识产权法院设立带来的“知识产权司法保护专门化效应”对企业数字创新的影响.研究发现:1)知识产权法院设立对企业数字创新具有显著促进效应;2)知识... 详细信息

文章以2008–2020年A股上市公司为研究对象,创新性地构建企业数字创新指数,实证检验了知识产权法院设立带来的“知识产权司法保护专门化效应”对企业数字创新的影响.研究发现:1)知识产权法院设立对企业数字创新具有显著促进效应;2)知识产权法院设立主要促进企业数字商业模式创新;3)知识产权法院设立会通过优化数字创新司法环境、降低数字创新溢出损失及缓解企业外部融资约束等机制促进企业数字创新;4)知识产权法院设立对小规模、非国有及低竞争行业企业数字创新的促进作用更为显著;5)知识产权法院设立显著提升了数字创新(尤其是数字商业模式创新)企业的市场价值.

关键词：知识产权司法专门化数字创新文本识别

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基于改进ResNet-50的类别不平衡蚕茧图像分类算法

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蚕业科学 2024年第2期50卷 116-126页

作者：吴勇李子印汪小东叶飞金君中国计量大学光学与电子科技学院杭州310018 湖州市质量技术监督检测研究院(湖州市纤维质量监测中心) 浙江湖州313099

在蚕茧制丝工艺流程中,缫丝前需将蚕茧按照缫丝工艺要求,逐一进行选茧分类工作。针对蚕茧图像数据存在类内差异大、类间差异小以及类别不平衡问题,文中提出一种基于改进ResNet-50的类别不平衡蚕茧图像分类算法。该算法在ResNet-50特征... 详细信息

在蚕茧制丝工艺流程中,缫丝前需将蚕茧按照缫丝工艺要求,逐一进行选茧分类工作。针对蚕茧图像数据存在类内差异大、类间差异小以及类别不平衡问题,文中提出一种基于改进ResNet-50的类别不平衡蚕茧图像分类算法。该算法在ResNet-50特征提取网络基础上,从特征图中得到注意力图,之后划分区域,将注意力强度最大区域的特征值减半,以抑制最显著区域特征;提取最显著区域特征并进行特征融合,以增加疵点注意力分布及提高网络表征能力;引入解耦表示学习和分类器学习进行训练,使用类平衡采样微调分类器,引入低频类参数优化损失,以在参数空间进一步调整分类器决策边界。结果表明,该算法在蚕茧图像测试集上分类准确率达96203%,加权F1分数达96196%,相较于ResNet-50分类算法分别提升1243个百分点和1279个百分点;改进算法对中低频类别蚕茧图像分类准确率提升达077~932个百分点。将该算法应用到蚕茧分选系统的视觉模块中可有效提升蚕茧分选效率。

关键词：蚕茧图像蚕茧疵点特征融合蚕茧分选

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电液复合调速器中比例电磁铁的多参数优化

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舰船科学技术 2024年第12期46卷 102-107页

作者：贺玉海游子寅武汉理工大学船海与能源动力工程学院湖北武汉430063 船舶动力工程技术交通行业重点实验室湖北武汉430063 船舶与海洋工程动力系统国家工程实验室电控分实验室湖北武汉430063

比例电磁铁是柴油机电液复合调速系统的电磁驱动元件,其电磁力特性影响到整个调速系统的精确度与稳定性。首先利用Ansys Maxwell软件搭建比例电磁铁的仿真模型,并通过电磁阀测试平台验证模型的准确性。随后对电磁铁各结构尺寸进行参数... 详细信息

比例电磁铁是柴油机电液复合调速系统的电磁驱动元件,其电磁力特性影响到整个调速系统的精确度与稳定性。首先利用Ansys Maxwell软件搭建比例电磁铁的仿真模型,并通过电磁阀测试平台验证模型的准确性。随后对电磁铁各结构尺寸进行参数化分析,得到影响比例电磁铁电磁力特性的关键参数组合。最后使用响应面法建立平均电磁力、电磁力均方差与上隔磁角、隔磁环位置、衔铁半径3个因素的二次回归模型,并结合遗传算法进行多目标优化。结果表明,相较于原方案,遗传算法优化得到的结构参数组合方案使比例电磁铁的电磁力特性得到明显改善,平均电磁力提高了8.56%,电磁力均方差下降了59.63%。

关键词：比例电磁铁电磁力特性遗传算法响应面模型参数优化

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