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General Psychiatry 2024年第1期37卷 163-167页

作者： Ziqiang Shao Yongjian Guo lirong yue Xiaoyang Liu Jiayi Liu Xumeng Zhao Xiaona Sheng Dahua Yu Yifei Zhu Kai Yuan School of Life Science and Technology Xidian UniversityXi'anShaanxiChina Department of Psychosomatic Medicine The Second Hospital of Hebei Medical UniversityShijiazhuangHebeiChina Information Processing Laboratory School of Information EngineeringInner Mongolia University of Science and TechnologyBaotouInner MongoliaChina

To the editor:Insomnia disorder has a serious and widespread detrimental effect on humans with comorbidity with other mental or physical health problems.In recent years,noninvasive brain stimulation(NIBS)techniques,especially transcranial magnetic stimulation(TMS)and transcranial electrical stimulation,have been increasingly used for the treatment of brain diseases,including insomnia disorder.

关键词： stimulation transcranial ins

Dual roles of the amygdala-hippocampus circuit in the regulation of rapid eye movement sleep and depression symptoms by repetitive transcranial magnetic stimulation in patients with insomnia

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General Psychiatry 2024年第2期37卷 297-300页

作者： Xiaoyang Liu Xumeng Zhao Ziqiang Shao Yongjian Guo lirong yue Jiayi Liu Dahua Yu Xiaona Sheng Yifei Zhu Kai Yuan School of Life Science and Technology Xidian UniversityXi'anShaanxiChina Department of Psychosomatic Medicine The Second Hospital of Hebei Medical UniversityShijiazhuangHebeiChina Inner Mongolia University of Science and Technology BaotouInner MongoliaChina

To the editor:It is commonly reported that people with insomnia often experience comorbid emotional disorders,such as mood and anxiety disorders.12 A study found that fragmented rapid eye movement(REM)sleep in individuals with insomnia is associated with higher Beck Depression Inventory(BDI)scores.3 REM sleep architecture disruption is a typical symptom of insomnia.

关键词： sleep stimulation movement

Implications of neuroimaging findings in addiction

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Psychoradiology 2023年第1期3卷 18-23页

作者： Xinwen Wen lirong yue Zhe Du Linling Li Yuanqiang Zhu Dahua Yu Kai Yuan School of Life Science and Technology Xidian UniversityXi’an 710126China School of Biomedical Engineering Medical SchoolShenzhen UniversityShenzhen 518060China Guangdong Provincial Key Laboratory of Biomedical Measurements and Ultrasound Imaging Shenzhen UniversityShenzhen 518060China Department of Radiology Xijing HospitalFourth Military Medical UniversityXi’an 710032China Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing School of Information EngineeringInner Mongolia University of Science and TechnologyBaotou 014010China Engineering Research Center of Molecular and Neuro Imaging Ministry of Education Xidian UniversityXi’an 710126China Xi’an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information School of Life Science and TechnologyXidian UniversityXi’an 710126China

Addiction is a chronic and often relapsing brain disorder characterized by drug abuse and withdrawal symptoms and compulsive drug seeking(Koob and Volkow,2010)when access to the drug is restricted.Addiction leads to structural and functional brain changes implicated in reward,memory,motivation,and control(Volkow et al.,2019;Lüscher et al.,2020).

关键词： motivation finding seeking

Electroencephalography microstates as novel functional biomarkers for insomnia disorder

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General Psychiatry 2023年第6期36卷 491-500页

作者： Yongjian Guo Xumeng Zhao Xiaoyang Liu Jiayi Liu Yan Li lirong yue Fulai Yuan Yifei Zhu Xiaona Sheng Dahua Yu Kai Yuan School of Life Science and Technology Xidian UniversityXi'anShaanxiChina Department of Psychosomatic Medicine The Second Hospital of Hebei Medical UniversityShijiazhuangChina Health Management Center Xiangya HospitalCentral South UniversityChangshaChina information Processing Laboratory School of Information EngineeringInner Mongolia University of Science and TechnologyBaotouInner MongoliaChina

Background Insomnia disorder(ID)is one of the most common mental disorders.Research on ID focuses on exploring its mechanism of disease,novel treatments and treatment outcome prediction.An emerging technique in this field is the use of electroencephalography(EEG)microstates,which offer a new method of EEG feature extraction that incorporates information from both temporal and 6/spatial dimensions.Aims To explore the electrophysiological mechanisms of repetitive transcranial magnetic stimulation(rTMS)for ID treatment and use baseline microstate metrics for the prediction of its efficacy.Methods This study included 60 patients with ID and 40 age-matched and gender-matched good sleep controls(GSC).Their resting-state EEG microstates were analysed,and the Pittsburgh Sleep Quality Index(PSQI)and polysomnography(PSG)were collected to assess sleep quality.The 60 patients with ID were equally divided into active and sham groups to receive rTMS for 20 days to test whether rTMS had a moderating effect on abnormal microstates in patients with ID.Furthermore,in an independent group of 90 patients with ID who received rTMS treatment,patients were divided into optimal and suboptimal groups based on their median PSQI reduction rate.Baseline EEG microstates were used to build a machine-learning predictive model for the effects of rTMS treatment.Results The class D microstate was less frequent and contribute in patients with ID,and these abnormalities were associated with sleep onset latency as measured by PSG.Additinally,the abnormalities were partially reversed to the levels observed in the GSC group following rTMS treatment.The baseline microstate characteristics could predict the therapeutic effect of ID after 20 days of rTMS,with an accuracy of 80.13%.Conclusions Our study highlights the value of EEG microstates as functional biomarkers of ID and provides a new perspective for studying the neurophysiological mechanisms of ID.In addition,we predicted the therapeutic effect of rTMS on ID based on the baseline microstates of pa

关键词： stimulation matched treatment

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视神经原发性肿瘤临床病理分析(附17例)

现代肿瘤医学 2024年第2期32卷 261-266页

作者：杨亚丽张琦赵霓姗杨严丽周虹岳梨蓉云南大学附属医院(云南省第二人民医院云南省眼科医院)病理科云南昆明650021 云南大学附属医院(云南省第二人民医院云南省眼科医院)教学管理科云南昆明650021 云南大学附属医院(云南省第二人民医院云南省眼科医院)放射影像科云南昆明650021

目的:分析视神经原发性肿瘤的临床和病理组织学特点,病理诊断和鉴别诊断。方法:收集我院病理科2005年-2022年期间原发性视神经肿瘤患者的病例资料,回顾性分析其临床特征、病理组织学特征、免疫组化特点,并复习国内外相关文献。结果:视... 详细信息

目的:分析视神经原发性肿瘤的临床和病理组织学特点,病理诊断和鉴别诊断。方法:收集我院病理科2005年-2022年期间原发性视神经肿瘤患者的病例资料,回顾性分析其临床特征、病理组织学特征、免疫组化特点,并复习国内外相关文献。结果:视神经原发性肿瘤17例中视神经胶质瘤4例、视神经脑膜瘤13例,二者都好发于女性、患者均单眼发病,平均发病年龄视神经胶质瘤为18岁、视神经脑膜瘤为42.4岁,症状都主要表现为眼球突出伴视力下降,视神经胶质瘤对视力危害尤显著。组织学上,视神经胶质瘤(Verhoeff分型)分为粗网型、细网型和粗纤维型,各有其特点;视神经脑膜瘤组织形态与颅内原发脑膜瘤相似,但可见肿瘤包绕压迫视神经。结论:视神经原发性肿瘤少见,最常见的病理组织类型是视神经脑膜瘤和视神经胶质瘤。Verhoeff分型能较好反应视神经胶质瘤独特的组织学特点;视神经脑膜瘤和颅内原发的脑膜瘤的组织学特点相似,但具有肿瘤包绕压迫视神经的特点;诊断时需结合临床、影像和免疫组化与一些组织形态类似的病变进行鉴别。

关键词：视神经肿瘤组织学特点视神经胶质瘤 Verhoeff分型视神经脑膜瘤

Oxygen‑Coordinated Single Mn Sites for Efficient Electrocatalytic Nitrate Reduction to Ammonia

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Nano-Micro Letters 2024年第1期16卷 147-159页

作者： Shengbo Zhang Yuankang Zha Yixing Ye Ke Li yue Lin lirong Zheng Guozhong Wang Yunxia Zhang Huajie Yin Tongfei Shi Haimin Zhang Laboratory of Materials Physics Centre for Environmental and Energy NanomaterialsAnhui Key Laboratory of Nanomaterials and NanotechnologyCAS Center for Excellence in NanoscienceInstitute of Solid State PhysicsHFIPSChinese Academy of SciencesHefei 230031People’s Republic of China University of Science and Technology of China Hefei 230026People’s Republic of China Key Laboratory of Agricultural Sensors Ministry of AgricultureSchool of Information and ComputerAnhui Agricultural UniversityHefei 230026People’s Republic of China Hefei National Research Center for Physical Sciences at the Microscale University of Science and Technology of ChinaHefei 230026People’s Republic of China Beijing Synchrotron Radiation Facility Institute of High Energy PhysicsChinese Academy of Sciences19B Yuquan RoadBeijing 100049People’s Republic of China

Electrocatalytic nitrate reduction reaction has attracted increasing attention due to its goal of low carbon emission and environmental protection.Here,we report an efficient NitRR catalyst composed of single Mn sites with atomically dispersed oxygen(O)coordination on bacterial cellulose-converted graphitic carbon(Mn-O-C).Evidence of the atomically dispersed Mn-(O-C_(2))_(4)moieties embedding in the exposed basal plane of carbon surface is confirmed by X-ray absorption spectroscopy.As a result,the as-synthesized Mn-O-C catalyst exhibits superior NitRR activity with an NH_(3)yield rate(RNH_(3))of 1476.9±62.6μg h^(−1)cm^(−2)at−0.7 V(vs.reversible hydrogen electrode,RHE)and a faradaic efficiency(FE)of 89.0±3.8%at−0.5 V(vs.RHE)under ambient conditions.Further,when evaluated with a practical flow cell,Mn-O-C shows a high RNH_(3)of 3706.7±552.0μg h^(−1)cm^(−2)at a current density of 100 mA cm−2,2.5 times of that in the H cell.The in situ FT-IR and Raman spectroscopic studies combined with theoretical calculations indicate that the Mn-(O-C_(2))_(4)sites not only effectively inhibit the competitive hydrogen evolution reaction,but also greatly promote the adsorption and activation of nitrate(NO_(3)^(−)),thus boosting both the FE and selectivity of NH_(3)over Mn-(O-C_(2))_(4)sites.

关键词： Atomically dispersed Oxygen coordination Nitrate reduction reaction In situ spectroscopic studies Hydrogen evolution reaction

Facile low-temperature supercritical carbonization method to prepare high-loading nickel single atom catalysts for efficient photodegradation of tetracycline

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Journal of Environmental Sciences 2024年第4期138卷 373-384页

作者： Han Qiao lirong Zheng Shiwen Hu Gang Tang Hongri Suo Chongxuan Liu School of Environment Harbin Institute of TechnologyHarbin 150090China State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control School of Environmental Science and EngineeringSouthern University of Science and TechnologyShenzhen 518055China Beijing Synchrotron Radiation Facility(BSRF) Institute of High Energy PhysicsChinese Academy of SciencesBeijing 100049China

Environmental photocatalysis is a promising technology for treating antibiotics in wastewater.In this study,a supercritical carbonization method was developed to synthesize a single-atom photocatalyst with a high loading of Ni(above 5 wt.%)anchored on a carbonnitrogen-silicate substrate for the efficient photodegradation of a ubiquitous environmental contaminant of tetracycline(TC).The photocatalyst was prepared from an easily obtained metal-biopolymer-inorganic supramolecular hydrogel,followed by supercritical drying and carbonization treatment.The low-temperature(300℃)supercritical ethanol treatment prevents the excessive structural degradation of hydrogel and greatly reduces the metal clustering and aggregation,which contributed to the high Ni loading.Atomic characterizations confirmed that Ni was present at isolated sites and stabilized by Ni-N and Ni-O bonds in a Ni-(N/O)_(6)-C/SiC configuration.A 5%Ni-C-Si catalyst,which performed the best among the studied catalysts,exhibited a wide visible light response with a narrow bandgap of 1.45 eV that could efficiently and repeatedly catalyze the oxidation of TC with a conversion rate of almost 100% within 40 min.The reactive species trapping experiments and electron spin resonance(ESR)tests demonstrated that the h+,and·O_(2)-were mainly responsible for TC degradation.The TC degradation mechanism and possible reaction pathways were provided also.Overall,this study proposed a novel strategy to synthesize a high metal loading singleatom photocatalyst that can efficiently remove TC with high concentrations,and this strategy might be extended for synthesis of other carbon-based single-atom catalysts with valuable properties.

关键词： Carbon-based single-atom catalyst Nickel Photocatalytic degradation Tetracycline Visible light

New approach to paricalcitol synthesis

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Chinese Science Bulletin 2012年第14期57卷 1616-1619页

作者： LI LiQi yue lirong XIE ZhiXiang LI Ying State Key Laboratory of Applied Organic Chemistry Lanzhou University Lanzhou 730000 China

Paricalcitol,an analog of vitamin D,is used as a drug for the prevention and treatment of secondary hyperparathyroidism.In this paper,a new strategy for the synthesis of paricalcitol is described.This approach includes three main improvements:one-pot regioselective ozonization cleavage of the side-chain and methylene at C-19,free-radical reduction removal of the OH group formed at C-19,and side-chain assembly using a Wittig reaction.These are all new strategies for the synthesis of 19-nor-vitamin D2 compounds.

关键词：醇合成维生素D2 清除自由基反应选择性甲状旁腺继发性亚甲基化合物

Intertwined depressive and cognitive trajectories and the risk of dementia and death in older adults:a competing risk analysis

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General Psychiatry 2024年第2期37卷 207-215页

作者： Ziyang Ren lirong Nie Yushan Du Jufen Liu Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health Peking UniversityBeijingChina Department of Epidemiology and Biostatistics School of Public HealthPeking UniversityBeijingChina

Background Depressive symptoms and cognitive impairment often interact,rendering their associations controversial.To date,their joint trajectories and associations with dementia and death remain underexplored.Aims To explore the interactions between depressive symptoms and cognitive function,their developmental trajectories and the associations with all-cause dementia,Alzheimer’s disease(AD)and all-cause death in older adults.Methods Data were from the Health and Retirement Study.Depressive symptoms and cognitive function were measured using the 8-item Centre for Epidemiologic Studies Depression Scale and the Telephone Interview of Cognitive Status,respectively.All-cause dementia and AD were defined by self-reported or proxy-reported physician diagnoses.All-cause death was determined by interviews.The restricted cubic spline,group-based trajectory modelling and subdistribution hazard regression were used.Results Significant interactions between depressive symptoms and cognitive function in 2010 in their association with new-onset all-cause dementia and AD from 2010 to 2020 were found,especially in women(p for interaction<0.05).Independent trajectory analysis showed that emerging or high(vs no)depressive trajectories and poor or rapidly decreased cognitive trajectories(vs very good)from 1996 to 2010 were at significantly higher risk of subsequent all-cause dementia,AD and all-cause death.15 joint trajectories of depressive symptoms and cognitive function from 1996 to 2010 were determined,where rapidly decreased cognitive function was more common in those with no depressive symptoms.Compared with older adults with the trajectory of no depressive symptoms and very good cognitive function,those with the trajectory of no depressive symptoms but rapidly decreased cognitive function were much more likely to develop new-onset all-cause dementia and death,with subdistribution hazard ratios(95%confidence intervals)of 4.47(2.99 to 6.67)and 1.84(1.43 to 2.36),especially in women.Conclusions To effectively mitigate the risk o

关键词： death analysis rendering

Study on Quantitative Precipitation Estimation by Polarimetric Radar Using Deep Learning

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Advances in Atmospheric Sciences 2024年第6期41卷 1147-1160页

作者： Jiang HUANGFU Zhiqun HU Jiafeng ZHENG lirong WANG Yongjie ZHU State Key Lab of Severe Weather Chinese Academy of Meteorological SciencesBeijing 100081China Meteorological observatory of Jiangxi Province Nanchang 330096China Hebei Meteorological Disaster Prevention and Environmental Meteorological Center Shijiazhuang 050021China School of Atmospheric Sciences Chengdu University of Information TechnologyChengdu 610225China

Accurate radar quantitative precipitation estimation(QPE)plays an essential role in disaster prevention and mitigation.In this paper,two deep learning-based QPE networks including a single-parameter network and a multi-parameter network are designed.Meanwhile,a self-defined loss function(SLF)is proposed during modeling.The dataset includes Shijiazhuang S-band dual polarimetric radar(CINRAD/SAD)data and rain gauge data within the radar’s 100-km detection range during the flood season of 2021 in North China.Considering that the specific propagation phase shift(KDP)has a roughly linear relationship with the precipitation intensity,KDP is set to 0.5°km^(-1 )as a threshold value to divide all the rain data(AR)into a heavy rain(HR)and light rain(LR)dataset.Subsequently,12 deep learning-based QPE models are trained according to the input radar parameters,the precipitation datasets,and whether an SLF was adopted,respectively.The results suggest that the effects of QPE after distinguishing rainfall intensity are better than those without distinguishing,and the effects of using SLF are better than those that used MSE as a loss function.A Z-R relationship and a ZH-KDP-R synthesis method are compared with deep learning-based QPE.The mean relative errors(MRE)of AR models using SLF are improved by 61.90%,51.21%,and 56.34%compared with the Z-R relational method,and by 38.63%,42.55%,and 47.49%compared with the synthesis method.Finally,the models are further evaluated in three precipitation processes,which manifest that the deep learning-based models have significant advantages over the traditional empirical formula methods.

关键词： polarimetric radar quantitative precipitation estimation deep learning single-parameter network multi-parameter network