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Interface optimization of graphene paper-Cu composite prepared by electrodeposition

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Journal of Iron and Steel Research(International) 2024年第1期31卷 64-73页

作者： jing Guo Hai-jing wang shuang-juan Liu Peng Zhang jing-yu Tang Wei-yang Zhang Han-jie Guo Peng-cheng wang Cai Meng School of Metallurgical and Ecological Engineering University of Science and Technology BeijingBeijing100083China Institute of High Energy Physics Chinese Academy of SciencesBeijing100049China Advanced Technology and Materials Co. Ltd.Beijing100083China School of Nuclear Science and Technology University of Science and Technology of ChinaHefei230027AnhuiChina

A room-temperature electrodeposition method with an organic electrolyte was developed to fabricate a HNO3-pretreated graphene paper Cu(GP'-Cu)composite.To improve the interfacial bonding of GP'-Cu composite,magnetron sputtering technology was used to create a"sandwich"structural gradient GP'-Cu composite.The selection of the intermediate transition layer metal was based on two-dimensional disregistry.Scanning electron microscopy,X-ray photoelectron spectroscopy,and other analytical methods confirmed that the addition of an intermediate transition metal(Cr,Ni)layer reduced the gap distance and enhanced the interfacial bonding of the GP'and Cu deposited layers.The GP'-Ni-Cu composite exhibited the largest increase in tensile strength and conductivity.In addition,it had the highest thermal diffusivity and elongation at break among the GP'-Cu,GP'-Cr-Cu and GP'-Ni-Cu composites.

关键词： Graphene paper Two-dimensional disregistry Magnetron sputtering Metal composite

Machine learning will revolutionize perovskite solar cells

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The Innovation 2024年第3期5卷 13-14页

作者： Ziming Chen shuang Pan jing wang Yonggang Min Yihuang Chen Qifan Xue State Key Laboratory of Luminescent Materials and Devices Institute of Polymer Optoelectronic Materials and DevicesSchool of Materials Science and EngineeringSouth China University of TechnologyGuangzhou 510640China College of Chemistry and Materials Engineering Wenzhou UniversityWenzhou 325035China School of Materials and Energy Guangdong University of TechnologyGuangzhou 510006China

With the emergence of ChatGPT and its rapid iteration speed,artificial intelligence(AI)has undoubtedly become the driving force behind a new wave of technological revolution.After more than half a century of development,AI has become akin to the steam engine of the Industrial Revolution,propelling humanity into the era of intelligence.The global industrial chain has also recognized that AI technology will spearhead a new wave of industrial transformation and development.Machine learning(ML),driven by data,abstracts real-life problems into mathematical problems and solves them using computers.It is currently the mainstream method for addressing many AI problems.Perovskite solar cells(PSCs)are currently the focus of researchers around the world due to their high efficiency,low cost,and simple manufacturing process.They are considered the most promising third-generation solar cell for commercialization.In 2011,the United States proposed the Materials Genome Initiative(MGI).The main idea is to utilize the“trinity”approach of computing,data,and experiments to transform the conventional“trial and error”model of materials research and development,which relies heavily on experience and experimentation,in order to enhance the quality,speed of discovery,development,production,and application of new materials.Driven by the MGI,research on the combination of ML with great application potential and rapidly developing PSC(ML&PSC)emerged(Figure 1).

关键词： utilize Figure doubt

Targeting epigenetic and posttranslational modifications regulating ferroptosis for the treatment of diseases

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Signal Transduction and Targeted Therapy 2024年第1期9卷 105-149页

作者： Yumin wang jing Hu shuang Wu Joshua S.Fleishman Yulin Li Yinshi Xu Wailong Zou Jinhua wang Yukuan Feng Jichao Chen Hongquan wang Department of Respiratory and Critical Care Medicine Aerospace Center HospitalPeking University Aerospace School of Clinical MedicineBeijing 100049PR China Department of Pathogen Biology School of Basic Medical SciencesTianjin Medical UniversityTianjin 300060PR China Department of Neurology Zhongnan Hospital of Wuhan UniversityWuhan 430000PR China Department of Pharmaceutical Sciences College of Pharmacy and Health SciencesSt.John’s UniversityQueensNY 11439USA Department of Outpatient Aerospace Center HospitalPeking University Aerospace School of Clinical MedicineBeijing 100049PR China Beijing Key Laboratory of Drug Target and Screening Research Institute of Materia MedicaChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100050PR China Department of Pancreatic Cancer Tianjin Medical University Cancer Institute and HospitalNational Clinical Research Center for CancerTianjin’s Clinical Research Center for CancerKey Laboratory of Cancer Prevention and TherapyTianjin 300060PR China

Ferroptosis,a unique modality of cell death with mechanistic and morphological differences from other cell death modes,plays a pivotal role in regulating tumorigenesis and offers a new opportunity for modulating anticancer drug resistance.Aberrant epigenetic modifications and posttranslational modifications(PTMs)promote anticancer drug resistance,cancer progression,and metastasis.Accumulating studies indicate that epigenetic modifications can transcriptionally and translationally determine cancer cell vulnerability to ferroptosis and that ferroptosis functions as a driver in nervous system diseases(NSDs),cardiovascular diseases(CVDs),liver diseases,lung diseases,and kidney diseases.In this review,we first summarize the core molecular mechanisms of ferroptosis.Then,the roles of epigenetic processes,including histone PTMs,DNA methylation,and noncoding RNA regulation and PTMs,such as phosphorylation,ubiquitination,SUMOylation,acetylation,methylation,and ADP-ribosylation,are concisely discussed.The roles of epigenetic modifications and PTMs in ferroptosis regulation in the genesis of diseases,including cancers,NSD,CVDs,liver diseases,lung diseases,and kidney diseases,as well as the application of epigenetic and PTM modulators in the therapy of these diseases,are then discussed in detail.Elucidating the mechanisms of ferroptosis regulation mediated by epigenetic modifications and PTMs in cancer and other diseases will facilitate the development of promising combination therapeutic regimens containing epigenetic or PTM-targeting agents and ferroptosis inducers that can be used to overcome chemotherapeutic resistance in cancer and could be used to prevent other diseases.In addition,these mechanisms highlight potential therapeutic approaches to overcome chemoresistance in cancer or halt the genesis of other diseases.

关键词： diseases epigenetic overcome

A bibliometric analysis of molybdenum-based nanomaterials in the biomedical field

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Tungsten 2024年第1期6卷 17-47页

作者： Zhi-Qiang wang Ya-Wen Pan jing Wu Hong-Bin Qi shuang Zhu Zhan-Jun Gu School of Science China University of GeosciencesBeijing 100083China CAS Key Laboratory for Biomedical Eff ects of Nanomaterials and Nanosafety Institute of High Energy PhysicsBeijing 100049China CAS Center for Excellence in Nanoscience National Center for Nanoscience and Technology of ChinaChinese Academy of SciencesBeijing 100190China College of Materials Science and Optoelectronic Technology University of Chinese Academy of SciencesBeijing 100049China

Molybdenum(Mo)-based nanomaterials have been widely used in biomedical fields due to their various nanostructures and unique physical/chemical properties.Although various reviews have described the development of Mo-based materials in the biomedical field,an objective and comprehensive summary and analysis of research trends in this field is still rare.Therefore,we used the bibliometric analysis method to analyze all relevant literature on the biological application of Mobased nanomaterials in recent years.First,we use bibliometric tools to analyze the dataset by year,country/region,institution and research hotspot to obtain the research trends.Next,based on objectively identified research hotspots,the biomedical applications of Mo-based nanomaterials are reviewed comprehensively,mainly including sensors,cancer imaging/therapy and antibacterial applications.Finally,we discussed the application prospects and challenges of Mo-based materials.This article provides a new perspective to understand the current research progress and further promote the development of Mobased nanomaterials in biomedical research.

关键词： Molybdenum Nanomaterial Biomedicine Bibliometric analysis

Non-contact gaseous microplasma electrode as anode for electrodeposition of metal and metal alloy in molten salt

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Chinese Chemical Letters 2024年第4期35卷 166-169页

作者： Junhan Luo Qi Qing Liqin Huang Zhe wang shuang Liu jing Chen Yuexiang Lu Institute of Nuclear and New Energy Technology Tsinghua UniversityBeijing 100084China The MOE Key Laboratory of Resources and Environmental System Optimization College of Environmental Science and EngineeringNorth China Electric Power UniversityBeijing 102206China Nuclear Research Institute for Future Technology and Policy Seoul National UniversitySeoul 08826Republic of Korea

Microplasma based on glow discharge could act as a non-contact gaseous electrode and has attracted much attention in both fundamental research and application. Herein, with microplasma as the anode,the electrodeposition process of a series of metal and metal alloys in molten salt has been systemically studied. Four metal cations with different valence states, silver(Ag~+), nickel(Ni^(2+)), copper(Cu^(2+)), and iron(Fe^(3+)), could all be reduced on the solid cathode with high current efficiency and the corresponding metal products were of high purity. The electrodeposition of aluminum-lanthanum(Al-Ln) alloy on the aluminum cathode was also successfully carried out with microplasma as the anode, and the same alloy was obtained by using the conventional anode electrode. These results indicated that microplasma anode based on non-contact direct-current(DC) glow discharge is a promising electrode to be applied in molten salt electrolysis.

关键词： Microplasma Anode Molten salt Electrodeposition Al-Ln alloy

Utilizing dual-pathway energy transfer in upconversion nanoconjugates for reinforced photodynamic therapy

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Nano Research 2024年第4期17卷 2941-2948页

作者： Ruohao Zhang Yu Lu Yifei Zhou Kehong Lv Xinyu Fu Jitong Gong shuang Yao Xiaozhen wang jing Feng Hongjie Zhang State Key Laboratory of Rare Earth Resource Utilization Changchun Institute of Applied ChemistryChinese Academy of SciencesChangchun 130022China School of Applied Chemistry and Engineering University of Science and Technology of ChinaHefei 230026China College of Chemistry Jilin UniversityChangchun 130012China Department of Breast Surgery General Surgery Centerthe First Hospital of Jilin UniversityChangchun 130021China Department of Chemistry Tsinghua UniversityBeijing 100084China

Enhancing the therapeutic effect of existing treatments or developing new non-invasive treatments are important measures to achieve high-efficiency treatment of malignant tumors.Photodynamic therapy(PDT)is an emerging treatment modality,and the key for achieving high-efficiency PDT is to select light with strong tissue penetration depth and enhance the generation of reactive oxygen species(ROS).Although the upconversion nanoparticles(UCNPs)modified with the photosensitizers could achieve PDT with strong penetration depth under near-infrared light irradiation,the ROS generated by traditional single-pathway PDT is still insufficient.Herein,we developed a novel nanoconjugate(UCNP-Ce6/AIEgen)for dual-pathway reinforced PDT,in which the UCNPs were co-modified with chlorin e6(Ce6)and luminogen with aggregation-induced emission(AIEgen).Due to the presence of AIEgen,UCNP-Ce6/AIEgen could avoid aggregation-caused luminescence quenching in biological water environments and convert upconversion luminescence(UCL)of UCNPs to Ce6-activatable fluorescence.Therefore,under the irradiation of 808 nm laser,UCNP-Ce6/AIEgen can not only undergo direct lanthanide-triplet energy transfer to activate Ce6,but also convert the UCL of UCNPs to the light that can activate Ce6 through Fӧrster resonance energy transfer to generate more ROS,thus promoting tumor cell apoptosis.This work broadens the applications of nanoconjugates of lanthanide-based inorganic materials and organic dyes,and provides a conception for reinforced PDT of tumors.

关键词： upconversion nanoparticle aggregation-induced emission direct lanthanide-triplet energy transfer Förster resonance energy transfer photodynamic therapy

A scoping review of methodologies for applying artificial intelligence to physical activity interventions

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Journal of Sport and Health Science 2024年第3期13卷 428-441页

作者： Ruopeng An jing Shen Junjie wang Yuyi Yang Brown School Washington UniversitySt.LouisMO 63130USA Department of Physical Education China University of Geosciences BeijingBeijing 100083China School of Kinesiology and Health Promotion Dalian University of TechnologyDalian 116024China Division of Computational and Data Sciences Washington UniversitySt.LouisMO 63130USA

Purpose This scoping review aimed to offer researchers and practitioners an understanding of artificial intelligence(AI)applications in physical activity(PA)interventions;introduce them to prevalent machine learning(ML),deep learning(DL),and reinforcement learning(RL)algorithms;and encourage the adoption of AI methodologies.Methods A scoping review was performed in PubMed,Web of Science,Cochrane Library,and EBSCO focusing on AI applications for promoting PA or predicting related behavioral or health outcomes.AI methodologies were summarized and categorized to identify synergies,patterns,and trends informing future research.Additionally,a concise primer on predominant AI methodologies within the realm of PA was provided to bolster understanding and broader application.Results The review included 24 studies that met the predetermined eligibility criteria.AI models were found effective in detecting significant patterns of PA behavior and associations between specific factors and intervention outcomes.Most studies comparing AI models to traditional statistical approaches reported higher prediction accuracy for AI models on test data.Comparisons of different AI models yielded mixed results,likely due to model performance being highly dependent on the dataset and task.An increasing trend of adopting state-of-the-art DL and RL models over standard ML was observed,addressing complex human–machine communication,behavior modification,and decision-making tasks.Six key areas for future AI adoption in PA interventions emerged:personalized PA interventions,real-time monitoring and adaptation,integration of multimodal data sources,evaluation of intervention effectiveness,expanding access to PA interventions,and predicting and preventing injuries.Conclusion The scoping review highlights the potential of AI methodologies for advancing PA interventions.As the field progresses,staying informed and exploring emerging AI-driven strategies is essential for achieving significant improvements in PA interventions and fostering overall we

关键词： Artificial intelligence Intervention Machine learning Neural network Physical activity

Multimorbidity and mortality among older patients with coronary heart disease in Shenzhen,China

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Journal of Geriatric Cardiology 2024年第1期21卷 81-89页

作者： Fu-Rong LI shuang wang Xia LI Zhi-Yuan CHENG Cheng JIN Chun-Bao MO jing ZHENG Feng-Chao LIANG Dong-Feng GU Shenzhen Key Laboratory of Cardiovascular Health and Precision Medicine Southern University of Science and TechnologyShenzhenGuangdongChina School of Public Health and Emergency Management Southern University of Science and TechnologyShenzhenGuangdongChina Shenzhen Health Development Research and Data Management Center ShenzhenChina School of Medicine Southern University of Science and TechnologyShenzhenGuangdongChina

BACKGROUND The current understanding of the magnitude and consequences of multimorbidity in Chinese older adults with coronary heart disease(CHD)is insufficient.We aimed to assess the association and population-attributable fractions(PAFs)between multimorbidity and mortality among hospitalized older patients who were diagnosed with CHD in Shenzhen,China.METHODS We conducted a retrospective cohort study of older Chinese patients(aged≥65 years)who were diagnosed with CHD.Cox proportional hazards models were used to estimate the associations between multimorbidity and all-cause and cardiovascular disease(CVD)mortality.We also calculated the PAFs.RESULTS The study comprised 76,455 older hospitalized patients who were diagnosed with CHD between January 1,2016,and August 31,2022.Among them,70,217(91.9%)had multimorbidity,defined as the presence of at least one of the predefined 14 chronic conditions.Those with cancer,hemorrhagic stroke and chronic liver disease had the worst overall death risk,with adjusted HRs(95%CIs)of 4.05(3.77,4.38),2.22(1.94,2.53),and 1.85(1.63,2.11),respectively.For CVD mortality,the highest risk was observed for hemorrhagic stroke,ischemic stroke,and chronic kidney disease;the corresponding adjusted HRs(95%CIs)were 3.24(2.77,3.79),1.91(1.79,2.04),and 1.81(1.64,1.99),respectively.All-cause mortality was mostly attributable to cancer,heart failure and ischemic stroke,with PAFs of 11.8,10.2,and 9.1,respectively.As for CVD mortality,the leading PAFs were heart failure,ischemic stroke and diabetes;the corresponding PAFs were 18.0,15.7,and 6.1,respectively.CONCLUSIONS Multimorbidity was common and had a significant impact on mortality among older patients with CHD in Shenzhen,China.Cancer,heart failure,ischemic stroke and diabetes are the primary contributors to PAFs.Therefore,prioritizing improved treatment and management of these comorbidities is essential for the survival prognosis of CHD patients from a holistic public health perspective.

关键词： patients morbidity mortality

Cumulative effects of excess high-normal alanine aminotransferase levels in relation to new-onset metabolic dysfunction-associated fatty liver disease in China

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World Journal of Gastroenterology 2024年第10期30卷 1346-1357页

作者： jing-Feng Chen Zhuo-Qing Wu Hao-shuang Liu Su Yan You-Xiang wang Miao Xing Xiao-Qin Song Su-Ying Ding Health Management Center The First Affiliated Hospital of Zhengzhou UniversityZhengzhou 450052Henan ProvinceChina Institute of Systems Engineering Dalian University of TechnologyDalian 116024Liaoning ProvinceChina College of Public Health Zhengzhou UniversityZhengzhou 450001Henan ProvinceChina School of Basic Medicine and Forensic Medicine Henan University of Science and TechnologyLuoyang 471003Henan ProvinceChina

BACKGROUND Within the normal range,elevated alanine aminotransferase(ALT)levels are associated with an increased risk of metabolic dysfunction-associated fatty liver disease(MAFLD).AIM To investigate the associations between repeated high-normal ALT measurements and the risk of new-onset MAFLD prospectively.METHODS A cohort of 3553 participants followed for four consecutive health examinations over 4 years was selected.The incidence rate,cumulative times,and equally and unequally weighted cumulative effects of excess high-normal ALT levels(ehALT)were measured.Cox proportional hazards regression was used to analyse the association between the cumulative effects of ehALT and the risk of new-onset MAFLD.RESULTS A total of 83.13%of participants with MAFLD had normal ALT levels.The incidence rate of MAFLD showed a linear increasing trend in the cumulative ehALT group.Compared with those in the low-normal ALT group,the multivariate adjusted hazard ratios of the equally and unequally weighted cumulative effects of ehALT were 1.651[95%confidence interval(CI):1.199-2.273]and 1.535(95%CI:1.119-2.106)in the third quartile and 1.616(95%CI:1.162-2.246)and 1.580(95%CI:1.155-2.162)in the fourth quartile,respectively.CONCLUSION Most participants with MAFLD had normal ALT levels.Long-term high-normal ALT levels were associated with a cumulative increased risk of new-onset MAFLD.

关键词： Metabolic dysfunction-associated fatty liver disease High-normal alanine aminotransferase level Cumulative effect Cox proportional hazards regression Cohort study