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Nano Materials Science 2024年第4期6卷 419-427页

作者： Zhuangzhuang Wu Lijuan Feng zhe lu Xinxin Yu Yuzhen Zhao Junming luo Shaolei Wang Xinlong Tian Qi Chen State Key Laboratory of Marine Resource Utilization in South China Sea School of Marine Science and Engineering Hainan University Key Laboratory of Polyoxometalate and Reticular Material Chemistry of Ministry of Education School of Chemistry Northeast Normal University School of Bioengineering Zhuhai Campus of Zunyi Medical University

With characteristics and advantages of functional composite materials, they are commendably adopted in numerous fields especially in oxygen electrocatalysis, which is due to the significant synergies between various components. Herein, a novel bifunctional oxygen electrocatalyst（Co-CNT@COF-Pyr） has been synthesized through in-situ growth of covalent organic frameworks（COFs） layers on the outer surface of highly conductive carbon nanotubes（CNTs） followed by coordination with Co（II）. For electrocatalytic OER, Co-CNT@COF-Pyr reveals a low overpotential（438 mV） in alkaline electrolyte（1.0 M aqueous solution of KOH） with a current density of 10 mA cm-2, which is comparable to most discovered COF-based catalysts. For electrocatalytic ORR, CoCNT@COF-Pyr exhibits a low H2O2yield range（9.0 %–10.1 %） and a reaction pathway close to 4e-（n =3.82–3.80） in alkaline electrolyte（0.1 M aqueous solution of KOH） within the test potential range of 0.1–0.6 V ***, which is superior to most reported COF-based catalysts. Hence, this research could not only offer an innovative insight into the construction of composites, but also facilitate the practical application of renewable fuel cells, closed water cycle, and rechargeable metal-air batteries.

关键词： Oxygen electrocatalysis Covalent organic frameworks Carbon nanotubes Composite materials

Prediction of treatment response to antipsychotic drugs for precision medicine approach to schizophrenia:randomized trials and multiomics analysis

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Military Medical Research 2024年第1期11卷 19-33页

作者： Liang-Kun Guo Yi Su Yu-Ya-Nan Zhang Hao Yu zhe lu Wen-Qiang Li Yong-Feng Yang Xiao Xiao Hao Yan Tian-Lan lu Jun Li Yun-Dan Liao zhe-Wei Kang Li-Fang Wang Yue Li Ming Li Bing Liu Hai-Liang Huang lu-Xian Lv Yin Yao Yun-Long Tan Gerome Breen Ian Everall Hong-Xing Wang Zhuo Huang Dai Zhang Wei-Hua Yue Institute of Mental Health Peking University Sixth HospitalBeijing 100191China National Clinical Research Center for Mental Disorders Peking University Sixth HospitalBeijing 100191China NHC Key Laboratory of Mental Health and Research Unit of Diagnosis and Treatment of Mood Cognitive Disorder(2018RU006) Chinese Academy of Medical SciencesBeijing 100191China Peking University Huilongguan Clinical Medical School Beijing Huilongguan HospitalBeijing 100096China Department of Psychiatry Jining Medical UniversityJining 272067ShandongChina Henan Key Lab of Biological Psychiatry the Second Affiliated Hospital of Xinxiang Medical UniversityXinxiang 435001HenanChina Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province Kunming Institute of ZoologyChinese Academy of SciencesKunming 650223China Institute of Psychiatry Psychology and NeuroscienceKing’s College LondonLondon WC2R 2LSUK State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal UniversityBeijing 100875China Analytic and Translational Genetics Unit Massachusetts General HospitalBostonMA 02114USA Stanley Center for Psychiatric Research the Broad Institute of MIT and HarvardCambridgeMA 02141USA Department of Medicine Harvard Medical SchoolBostonMA 02115USA Department of Biostatistics and Computational Biology School of Life SciencesFudan UniversityShanghai 200438China Department of Neurology Xuanwu HospitalCapital Medical UniversityBeijing 100053China State Key Laboratory of Natural and Biomimetic Drugs Key Laboratory for Neuroscience for Ministry of EducationSchool of Pharmaceutical SciencesPeking University Health Science CenterBeijing 100191China PKU-IDG/McGovern Institute for Brain Research Peking UniversityBeijing 100871China Chinese Institute for Brain Research Beijing 102206China

Background:Choosing the appropriate antipsychotic drug(APD)treatment for patients with schizophrenia(SCZ)can be challenging,as the treatment response to APD is highly variable and difficult to predict due to the lack of effective *** studies have indicated the association between treatment response and genetic and epigenetic factors,but no effective biomarkers have been ***,further research is imperative to enhance precision medicine in SCZ ***:Participants with SCZ were recruited from two randomized *** discovery cohort was recruited from the CAPOC trial(n=2307)involved 6 weeks of treatment and equally randomized the participants to the Olanzapine,Risperidone,Quetiapine,Aripiprazole,Ziprasidone,and Haloperidol/Perphenazine(subsequently equally assigned to one or the other)*** external validation cohort was recruited from the CAPEC trial(n=1379),which involved 8 weeks of treatment and equally randomized the participants to the Olanzapine,Risperidone,and Aripiprazole ***,healthy controls(n=275)from the local community were utilized as a genetic/epigenetic *** genetic and epigenetic(DNA methylation)risks of SCZ were assessed using the polygenic risk score(PRS)and polymethylation score,*** study also examined the genetic-epigenetic interactions with treatment response through differential methylation analysis,methylation quantitative trait loci,colocalization,and promoteranchored chromatin *** learning was used to develop a prediction model for treatment response,which was evaluated for accuracy and clinical benefit using the area under curve(AUC)for classification,R^(2) for regression,and decision curve ***:Six risk genes for SCZ(LINC01795,DDHD2,SBNO1,KCNG2,SEMA7A,and RUFY1)involved in cortical morphology were identified as having a genetic-epigenetic interaction associated with treatment *** developed and externally validated predictio

关键词： Schizophrenia Antipsychotic drug Treatment response Prediction model Genetics Epigenetics

CrN supported by carbon nanosheets as efficient catalysts toward oxygen reduction reaction and Zn-air batteries

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Rare Metals 2024年第10期43卷 4973-4981页

作者： Ya-Ting Zhang Fan Zhang zhe lu Jun-Ming luo Su-Yang Feng Qi Wang Hui Chen Hao-Ming Wu zheng-Pei Miao Bin Chi Neng Yu Cheng-Hang You Jing Li Xin-Long Tian School of Chemistry and Chemical Engineering School of Marine Science and EngineeringHainan Provincial Key Lab of Fine ChemistryHainan University State Power Investment Group Hainan Electric Power Co.Ltd. Key Laboratory of Fuel Cell Technology of Guangdong Province Shenzhen Automotive Research Institute Beijing Institute of Technology State Key Laboratory of Nuclear Resources and Environment East China University of Technology

Exploring non-precious efficient oxygen reduction reaction （ORR） catalysts is of great significance to fuel cells and Zn-air batteries （ZABs）.CrN is a theoretically promising ORR catalyst,but its potential needs to be unlocked by proper supports that provide high conductivity and high exposure of active *** this work,we introduce a novel synthesis of carbon nanosheets-supported CrN nanoparticles （CrN/C） by annealing the mixture of CrCl3,1,10-phenanthroline and melamine via a two-step *** prepared CrN/C materials show good ORR activity and stability in acidic and alkaline *** optimal CrN/C material has an ORR half-wave potential of 0.73 and 0.72 V （*** hydrogen electrode） in acidic and alkaline media,*** it retains 82% and 78% of ORR current density in acidic and alkaline media after durability tests,***,the optimal CrN/C material-based self-breathing ZABs deliver a maximum power density of 168 mW·cm-2,which is one of the highest among transition metal nitrides-based ZABs It is found that the ORR activity of CrN/C materials is highly related to the Cr–N valence *** work highlights the good potential of CrN as robust ORR catalyst and verifies its promising application in ZABs.

关键词： Carbon nanosheets CrN Fuel cells Oxygen reduction reaction Zn-air batteries

Dajianzhong decoction:a review of its phytochemistry and therapeutic potential for gastrointestinal disease

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Integrative Medicine Discovery 2024年第25期8卷 1-9页

作者： Huan-Qing Gao zhe lu Ming Dang Yao Li Meng-Meng Zhang Li Ou College of Pharmacy Shaanxi University of Chinese MedicineXianyang 712046China.

Dajianzhong decoction(DJZD)is one of the traditional herbal prescriptions originated from Synopsis of Golden Chamber,which clinically used for the treatment of various gastrointestinal(GI)*** paper was aimed to provide a systematic review on the phytochemistry of DJZD and its therapeutic potential for GI disease and the ***,the possible development and perspectives for future research on this prescription were also *** date,over 60 compounds have been identified form DJZD,including unsaturated fatty acid,saponins,and polyphenols,with hydroxy-sanshool and ginsenoside compounds as the predominant *** possessed widely pharmacological activities on the GI disease from the Eastern Han Dynasty to the present,such as intestinal obstruction,colitis,and irritable bowel *** for the intestinal obstruction,it had demonstrated the efficacy of DJZD treatment for relief of postoperative ileus in patients undergoing surgery for GI *** detailed mechanism was mainly related with NF-ᴋB signaling ***,further research elucidating the protective effects of DJZD on GI disease,exploring new clinical effects,as well as establishing criteria for quality control for DJZD should be studied.

关键词： Dajian zhong decoction gastrointestinal diseases intestinal obstruction sanshool NF-ᴋB pathway

火箭发动机故障检测的快速增量单分类支持向量机算法

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国防科技大学学报 2024年第2期46卷 115-122页

作者：张万旋张箭卢哲薛薇张楠北京航天动力研究所北京100076

为解决液体火箭发动机故障诊断正负样本不平均问题,以及实现发动机稳态工作段自适应故障检测,建立了基于快速增量单分类支持向量机的异常检测模型。采取特征工程方法,对传感器获得的多变量时间序列进行特征提取。通过增量学习方法,对单... 详细信息

为解决液体火箭发动机故障诊断正负样本不平均问题,以及实现发动机稳态工作段自适应故障检测,建立了基于快速增量单分类支持向量机的异常检测模型。采取特征工程方法,对传感器获得的多变量时间序列进行特征提取。通过增量学习方法,对单分类支持向量机模型进行改进,并应用于液体火箭发动机异常检测,使单分类支持向量机检测模型具备对不同台次、不同工况的自适应性,提高了模型的计算速度。对多台次热试车数据的分析结果表明,该模型十分有效,训练速度快,具备实用价值。

关键词：单分类支持向量机特征提取自适应检测增量学习异常检测

阿达木单抗联合甲氨蝶呤治疗类风湿关节炎患者的临床研究

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中国临床药理学杂志 2024年第19期40卷 2786-2790页

作者：贾会欣吕昊哲大庆油田总医院中西医结合科黑龙江大庆163000

目的观察阿达木单抗(ADA)注射液联合甲氨蝶呤(MTX)片治疗类风湿关节炎(RA)患者的临床疗效和安全性,及其对骨代谢的影响。方法将RA患者按队列法分为试验组和对照组。对照组接受MTX片治疗,每次10 mg,每周1次,口服;试验组在对照组治疗的基... 详细信息

目的观察阿达木单抗(ADA)注射液联合甲氨蝶呤(MTX)片治疗类风湿关节炎(RA)患者的临床疗效和安全性,及其对骨代谢的影响。方法将RA患者按队列法分为试验组和对照组。对照组接受MTX片治疗,每次10 mg,每周1次,口服;试验组在对照组治疗的基础上,联用ADA注射液进行治疗,每次40 mg,每2周1次,皮下注射。2组患者均治疗24周。比较2组患者的临床疗效、症状改善情况、关节功能、血清骨代谢指标[骨碱性磷酸酶(B-ALD)、骨钙素(BGP)、Ⅰ型前胶原羧基端前肽(PICP)],并评价安全性。结果对照组入组37例、试验组入组43例。治疗后,试验组和对照组的总有效率分别为93.02%(40例/43例)和75.68%(28例/37例),在统计学上差异有统计学意义(P0.05)。结论ADA注射液联合MTX片治疗RA的临床疗效确切,其能显著改善患者的临床症状,促进关节功能恢复,降低血清类风湿因子水平,缓解炎症反应,改善骨代谢。

关键词：阿达木单抗注射液甲氨蝶呤片类风湿关节炎临床疗效骨代谢安全性评价

全生命周期视域下绿色建筑碳排放测算与减排效果研究

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环境生态学 2024年第1期6卷 9-16,25页

作者：卢喆王鹏江苏大学土木工程与力学学院江苏镇江212013

建筑业存在高能耗与高二氧化碳排放的问题,为助力建筑业实现“双碳”目标,本研究从全生命周期视域出发,借助BIM技术与OpenStudio能耗模拟技术,细化构建了住宅建筑碳排放测算模型,为今后住宅建筑全生命周期碳排放研究提供了一定的参考。... 详细信息

建筑业存在高能耗与高二氧化碳排放的问题,为助力建筑业实现“双碳”目标,本研究从全生命周期视域出发,借助BIM技术与OpenStudio能耗模拟技术,细化构建了住宅建筑碳排放测算模型,为今后住宅建筑全生命周期碳排放研究提供了一定的参考。研究案例以传统住宅建筑单体与绿色住宅建筑单体为研究对象,从全生命周期视角下分析两者的异质性,结果表明,与传统住宅建筑相比,绿色住宅建筑全生命周期碳排放较低,在运行阶段拥有更好的节能减排效果,但绿色住宅建筑物化阶段碳排放高于传统住宅建筑。本研究可为中国建筑业节能减排战略规划提供理论依据。

关键词：住宅建筑全生命周期 BIM 能耗模拟节能减排

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机场供电设备状态检修和运维一体化技术研究

电工技术 2024年第8期 218-220页

作者：陆喆广西机场管理集团南宁吴圩国际机场有限公司飞行区管理部广西南宁530048

为及时发现机场供电设备的潜在故障,提高机场供电的可靠性和安全性,开展机场供电设备状态检修和运维一体化技术研究。首先,通过预防性试验,对机场供电设备进行全方位、多维度的状态检修,计算设备参数的相对劣化度,判断设备运行状态,然... 详细信息

为及时发现机场供电设备的潜在故障,提高机场供电的可靠性和安全性,开展机场供电设备状态检修和运维一体化技术研究。首先,通过预防性试验,对机场供电设备进行全方位、多维度的状态检修,计算设备参数的相对劣化度,判断设备运行状态,然后以此为基础,计算设备故障风险值,确定设备风险等级,最后根据风险等级的不同,采取对应的机场供电设备的运维一体化技术措施。实验结果表明,应用提出的技术后,在设备运行时间逐渐增加的情况下,故障率始终较低,对于提高设备运行的可靠性和稳定性具有积极作用。

关键词：机场供电设备状态检修运维一体化

氧化石墨烯和石墨烯的高浓度加工、致密化及应用

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新型炭材料（中英文） 2024年第3期39卷 483-505页

作者：王悦罗家亮鲁哲宏狄俊王苏炜姜炜南京理工大学化学与化工学院国家特种超细粉体工程技术研究中心江苏南京210094 中国科学院合肥物质科学研究院强磁场科学中心安徽合肥230031

由紧密堆叠的石墨烯片组成的致密石墨烯组件具有出色的化学稳定性和优异的力学、热学和电学性能。致密石墨烯组件不存在多孔石墨烯气凝胶中密度低、力学强度低、导电性差和导热性差等问题,是未来便携式电子和智能设备的理想材料。本文... 详细信息

由紧密堆叠的石墨烯片组成的致密石墨烯组件具有出色的化学稳定性和优异的力学、热学和电学性能。致密石墨烯组件不存在多孔石墨烯气凝胶中密度低、力学强度低、导电性差和导热性差等问题,是未来便携式电子和智能设备的理想材料。本文对制备方法进行了总结,包括利用机械分散、蒸发浓缩、离心浓缩和液相剥离法获得的高浓度氧化石墨烯(GO)和石墨烯分散液,以及利用真空辅助过滤、界面自组装和压制成型法获得的二维(2D)致密石墨烯基薄膜和三维(3D)致密石墨烯基结构,并评估了各种方法的优缺点。此外,还总结了致密石墨烯基组件在储能、热管理和电磁干扰(EMI)屏蔽方面的应用。最后,概述了致密石墨烯组件在未来研究中面临的挑战和前景。本综述为探索和开发大规模、低成本的制造技术和面向应用的致密石墨烯组件提供参考。

关键词：高浓度分散液致密石墨烯基组件二维薄膜三维结构应用

基于SWAT模型的荆州市不同土地利用类型对雨水入渗量和径流系数的影响

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安徽农业科学 2024年第15期52卷 91-96页

作者：鲁睿哲韦鸿长江大学经济与管理学院湖北荆州434023

以荆州市为研究对象,结合试验观测、模型模拟与理论分析,研究不同尺度、区域和降雨条件下土地利用变化对雨水入渗量和径流系数的影响。结果表明,2010—2022年荆州市土地利用类型经历了明显转变,耕地面积缩减,建设用地扩张,林地与草地面... 详细信息

以荆州市为研究对象,结合试验观测、模型模拟与理论分析,研究不同尺度、区域和降雨条件下土地利用变化对雨水入渗量和径流系数的影响。结果表明,2010—2022年荆州市土地利用类型经历了明显转变,耕地面积缩减,建设用地扩张,林地与草地面积稳定,水域略增,其他用地略减,这些变化导致雨水入渗量呈上升趋势,而径流系数呈下降趋势。不同土地利用类型对雨水入渗量和径流系数的影响各异,林地和建设用地对雨水入渗量产生正面影响,对径流系数则是负面;耕地对雨水入渗量有负面影响,对径流系数则正面;草地、水域及其他用地的影响较为有限。土地利用变化对雨水入渗量和径流系数的影响随尺度、区域和降雨条件的不同表现出差异性和复杂性。

关键词：土地利用类型雨水入渗量径流系数 SWAT模型荆州市

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