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Epidemiological characteristics of central nervous system tumors in children: a 5-year review of 3180 cases from Beijing Tiantan Hospital

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Chinese Neurosurgical Journal 2022年第3期8卷 188-194页

作者： Zhi-ming Liu Chih-yi Liao Heng Zhang Zhe Han jun-mei wang Zhen-yu Ma Chun-de Li Jian Gong Wei Liu Tao Sun Yong-ji Tian Department of Neurosurgery Beijing Tiantan HospitalCapital Medical UniversityBeijingChina China National Clinical Research Center for Neurological Diseases Center of Brain TumorBeijing Institute for Brain DisordersBeijing Key Laboratory of Brain TumorBeijingChina Department of Neuropathology Beijing Neurosurgical InstituteCapital Medical UniversityBeijingChina

Background:To describe the epidemiological characteristics of central nervous system(CNS)tumors in children,based on the neurosurgery department of Beijing Tiantan ***:From January 2015 to December 2019,3180 children were histopathologically diagnosed with CNS tumors based on the 2016 World Health Organization(WHO)classification of *** were 0 to 15 years *** analyzed age-related gender preferences,tumor locations,and the histological grades of the *** addition,the epidemiological characteristics of the five most common intracranial tumors were compared to the previous ***:In this study,intracranial and spinal tumors account for 96.4%(3066)and 3.6%(114)of all tumors,with a preponderance of supratentorial tumors(57.9%).Among all pediatric patients,low-grade tumors comprise 67.1%(2135).The integral gender ratio of males to females is 1.47:1 and the average age of patients is 7.59 years *** five most common intracranial tumors are craniopharyngioma(15.4%),medulloblastoma(14.3%),pilocytic astrocytoma(11.8%),diffuse astrocytoma(9.8%),and anaplastic ependymoma(4.8%).Conclusions:Due to the lack of national data on childhood brain tumors,we used a large nationally representative population sample based on the largest pediatric neurosurgery center in *** analyzed the data of the past 5 years,reflecting the incidence of CNS tumors in Chinese children to a certain extent,and laying a data foundation for subsequent clinical studies.

关键词： Epidemiology Central nervous system tumors Pediatric World Health Organization classification

Preparation and characterization of Rb-doped TiO_(2) powders for photocatalytic applications

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Rare Metals 2024年第2期43卷 555-561页

作者： Lu Jia Li-mei Yang Wei wang Song-Tao Huang Zheng Xu National Engineering Laboratory of Biohydrometallurgy General Research Institute for Nonferrous MetalsBeijing100088China

TiO_(2)nanoparticles doped with different concentrations of Rb were prepared by sol–gel *** crystal structures of samples were characterized by X-ray diffraction(XRD)and transmission electron microscopy(TEM).It was confirmed by the Rietveld refinement method that the as-prepared samples crystallize in anatase phase and Rb doping induces expansion and distortion of the crystal *** with the pure TiO_(2),the Rb-doped nanoparticles have smaller crystal size and better *** rate of methylene blue was used to evaluate the photocatalytic activity of Rb–TiO_(2).It indicated that doping Rb into TiO_(2)can effectively improve the photocatalytic activity of TiO_(2)and the mechanisms were discussed in *** using the sample doped with 0.20%Rb,methylene blue degraded with the fastest rate(97%within 60 min).

关键词： Rb doping TiO_(2) Photocatalysis Sol-gel

Topology Optimization of Two Fluid Heat Transfer Problems for Heat Exchanger Design

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Computer Modeling in Engineering & Sciences 2024年第8期140卷 1949-1974页

作者： Kun Yan Yunyu wang jun Yan School of Chemical Engineering Dalian University of TechnologyDalian116024China Jianghuai Advanced Technology Center Hefei230000China State Key Laboratory of Structural Analysis for Industrial Equipment Department of Engineering MechanicsInternational Research Center for Computational MechanicsDalian University of TechnologyDalian116024China

Topology optimization of thermal-fluid coupling problems has received widespread *** article proposes a novel topology optimization method for laminar two-fluid heat exchanger *** proposed method utilizes an artificial density field to create two permeability interpolation functions that exhibit opposing trends,ensuring separation between the two fluid ***,a Gaussian function is employed to construct an interpolation function for the thermal conductivity ***,a computational program has been developed on the OpenFOAM platform for the topology optimization of two-fluid heat *** program leverages parallel computing,significantly reducing the time required for the topology optimization *** enhance computational speed and reduce the number of constraint conditions,we replaced the conventional pressure drop constraint condition in the optimization problem with a pressure inlet/outlet boundary *** 3D optimization results demonstrate the characteristic features of a surface structure,providing valuable guidance for designing heat exchangers that achieve high heat exchange efficiency while minimizing excessive pressure *** the same time,a new structure appears in large-scale topology optimization,which proves the effectiveness and stability of the topology optimization program written in this paper in large-scale calculation.

关键词： Topology optimization two fluid heat exchanger OpenFOAM large scale

Electroacupuncture Promotes Functional Recovery after Facial Nerve Injury in Rats by Regulating Autophagy via GDNF and PI3K/m TOR Signaling Pathway

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Chinese Journal of Integrative Medicine 2024年第3期30卷 251-259页

作者： YAO jun-peng FENG Xiu-mei wang Lu LI Yan-qiu ZHU Zi-yue YAN Xiang-yun YANG Yu-qing LI Ying ZHANG Wei Acupuncture and Tuina School Chengdu University of Traditional Chinese MedicineChengdu611137China Department of Rehabilitation Medicine Guanghan People’s HospitalGuanghanSichuan Province618399China Academic Affairs Office Chengdu University of Traditional Chinese MedicineChengdu611137China

Objective:To explore the mechanism of electroacupuncture(EA) in promoting recovery of the facial function with the involvement of autophagy,glial cell line-derived neurotrophic factor(GDNF),and phosphatidylinositol-3-kinase(PI3K)/mammalian target of rapamycin(mTOR) signaling ***:Seventy-two male Sprague-Dawley rats were randomly allocated into the control,sham-operated,facial nerve injury(FNI),EA,EA+3-methyladenine(3-MA),and EA+GDNF antagonist groups using a random number table,with 12 rats in each *** FNI rat model was established with facial nerve crushing *** intervention was conducted at Dicang(ST 4),Jiache(ST 6),Yifeng(SJ 17),and Hegu(LI 4) acupoints for 2 *** Simone’s 10-Point Scale was utilized to monitor the recovery of facial *** histopathological evaluation of facial nerves was performed using hematoxylin-eosin(HE) *** levels of Beclin-1,light chain 3(LC3),and P62 were detected by immunohistochemistry(IHC),immunofluorescence,and reverse transcriptionpolymerase chain reaction,***,IHC was also used to detect the levels of GDNF,Rai,PI3K,and ***:The facial functional scores were significantly increased in the EA group than the FNI group(P<0.05 or P<0.01).HE staining showed nerve axons and myelin sheaths,which were destroyed immediately after the injury,were recovered with EA *** expressions of Beclin-1 and LC3 were significantly elevated and the expression of P62 was markedly reduced in FNI rats(P<0.01);however,EA treatment reversed these abnormal changes(P<0.01).Meanwhile,EA stimulation significantly increased the levels of GDNF,Rai,PI3K,and mTOR(P<0.01).After exogenous administration with autophagy inhibitor 3-MA or GDNF antagonist,the repair effect of EA on facial function was attenuated(P<0.05 or P<0.01).Conclusions:EA could promote the recovery of facial function and repair the facial nerve damages in a rat model of *** may exert this neuroreparative effect through

关键词： electroacupuncture facial nerve injury autophagy glial cell line-derived neurotrophic factor phosphatidylinositol-3-kinase/mammalian target of rapamycin Chinese medicine

A comparative study of data-driven battery capacity estimation based on partial charging curves

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Journal of Energy Chemistry 2024年第1期88卷 409-420,I0010页

作者： Chuanping Lin jun Xu Delong Jiang Jiayang Hou Ying Liang Xianggong Zhang Enhu Li Xuesong mei State Key Laboratory for Manufacturing Systems Engineering Xi’an Jiaotong UniversityXi’an 710049ShaanxiChina Shaanxi Key Laboratory of Intelligent Robots School of Mechanical EngineeringXi’an Jiaotong UniversityXi’an 710049ShaanxiChina Department of Electrical Engineering and Automation Luoyang Institute of Science and TechnologyLuoyang 471023HenanChina Wuhan Institute of Marine Electric Propulsion China State Shipbuilding Corporation LimitedWuhan 430064HubeiChina Gresgying Digital Technology Ltd. Xi’an 710086ShaanxiChina

With its generality and practicality, the combination of partial charging curves and machine learning(ML) for battery capacity estimation has attracted widespread attention. However, a clear classification,fair comparison, and performance rationalization of these methods are lacking, due to the scattered existing studies. To address these issues, we develop 20 capacity estimation methods from three perspectives:charging sequence construction, input forms, and ML models. 22,582 charging curves are generated from 44 cells with different battery chemistry and operating conditions to validate the performance. Through comprehensive and unbiased comparison, the long short-term memory(LSTM) based neural network exhibits the best accuracy and robustness. Across all 6503 tested samples, the mean absolute percentage error(MAPE) for capacity estimation using LSTM is 0.61%, with a maximum error of only 3.94%. Even with the addition of 3 m V voltage noise or the extension of sampling intervals to 60 s, the average MAPE remains below 2%. Furthermore, the charging sequences are provided with physical explanations related to battery degradation to enhance confidence in their application. Recommendations for using other competitive methods are also presented. This work provides valuable insights and guidance for estimating battery capacity based on partial charging curves.

关键词： Lithium-ion battery Partial charging curves Capacity estimation Data-driven Sampling frequency

The Non-inclusion Diagnosability of Hypercubes Under the PMC Model

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Journal of the Operations Research Society of China 2024年第2期12卷 478-484页

作者： mei-Jie Ma Min Xu Tong-Tong Ding Xiang-jun Li Qiang Zhu School of Mathematics and Statistics Qilu University of Technology(Shandong Academy of Sciences)Jinan 250353ShandongChina School of Mathematical Sciences Beijing Normal UniversityLaboratory of Mathematics and Complex SystemsMinistry of EducationBeijing 100875China School of Information and Mathematics Yangtze UniversityJingzhou 434023HubeiChina School of Mathematics and Statistics XiDian UniversityXi'an 710071ShaanXiChina

Diagnosability of a multiprocessor system is an important measure of the reliability of interconnection ***-level diagnosis is a primary strategy to identify the faulty processors in a multiprocessor *** on a sound assumption proposed by Zhu et ***,we proposed a new diagnosability named non-inclusion diagnosability and showed that the non-inclusion diagnosability t_(N)(Q_(n))of the hypercube under the PMC model is *** is,assume that if two vertex sets F_(1) and F_(2) are both consistent with a syndrome and F_(1)C F_(2),then F_(2) is not the faulty set which we are looking for;the faulty set F is 1-step diagnosable if|F|≤2n-2 in Q_(n) under the PMC model.

关键词： Interconnection network Diagnosability Hypercube PMC model

A New Method for the Aging Evaluation of Oil-Paper Insulation Using η-Butanol and Methanol

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CSEE Journal of Power and Energy Systems 2024年第2期10卷 717-726页

作者： Jianyi wang Yuanxiang Zhou jun Liu Zhaowei wang Song Bai Jiayu Lu Department of High Voltage China Electric Power Research InstituteBeijing 100192China State Key Laboratory of Power Grid Environmental Protection Beijing 100192China Electrical Engineering Department Tsinghua UniversityBeijing 100084China Solar Storage Division of State Key Lab of Power System and Generation Equipment School of Electrical EngineeringXinjiang UniversityUrumqi 830047China State Grid Wuwei Electric Power Supply Company Wuwei 733000China

To improve the accuracy and efficiency of the aging life prediction and assessment of transformer oil-paper insulation,and to make up for the deficiencies of traditional characterizers,such as 2-furfural,carbon monoxide,and carbon dioxide,a method for the simultaneous determination of methanol,ethanol,n−propanol,and η-butanol in oil with a single injection is established by headspace-gas chromatography-mass *** measured results show that the determination limits of the four alcohol characterizers can be controlled to 10μg/kg *** on this method,the change patterns of the above four alcohols with thermal aging time and degree of polymerization are obtained through thermal aging experimental ***,η-propanol,and η-butanol in oil indicate nearly linear correlations with thermal aging time and degree of polymerization,similar to that of *** analyzing 52 sets of measured data of 500 kV EHV transformers in operation,η-butanol is found to have excellent performance,and a new method to evaluate the aging state of oil-paper insulation employing η-butanol and methanol is proposed along with the aging attention value *** measured data of 500 kV EHV transformers in operation indicate that the combination of η-butanol and methanol as the preferred characterizers can effectively compensate for the shortcoming of traditional characterizers in the early stages of aging,and the feasibility of the method is *** possible pathways for the generation of η-butanol by cellulose cleavage during the aging of oil-paper are proposed from the chemical structure of cellulose.

关键词： Aging characterization determination method methanol η-butanol oil-paper insulation 500 kV transformers

Controllable image generation based on causal representation learning

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Frontiers of Information Technology & Electronic Engineering 2024年第1期25卷 135-148页

作者： Shanshan HUANG Yuanhao wang Zhili GONG jun LIAO Shu wang Li LIU School of Big Data and Software Engineering Chongqing UniversityChongqing 401331China School of Materials and Energy Southwest UniversityChongqing 400715China

Artificial intelligence generated content(AIGC)has emerged as an indispensable tool for producing large-scale content in various forms,such as images,thanks to the significant role that AI plays in imitation and ***,interpretability and controllability remain *** AI methods often face challenges in producing images that are both flexible and controllable while considering causal relationships within the *** address this issue,we have developed a novel method for causal controllable image generation(CCIG)that combines causal representation learning with bi-directional generative adversarial networks(GANs).This approach enables humans to control image attributes while considering the rationality and interpretability of the generated images and also allows for the generation of counterfactual *** key of our approach,CCIG,lies in the use of a causal structure learning module to learn the causal relationships between image attributes and joint optimization with the encoder,generator,and joint discriminator in the image generation *** doing so,we can learn causal representations in image’s latent space and use causal intervention operations to control image *** conduct extensive experiments on a real-world dataset,*** experimental results illustrate the effectiveness of CCIG.

关键词： Image generation Controllable image editing Causal structure learning Causal representation learning

An orally-available monovalent SMAC mimetic compound as a broad-spectrum antiviral

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Protein & Cell 2024年第1期15卷 69-75页

作者： Miao mei Maria_Antonietta Impagnatiello jun Jiao Ulrich Reiser Ulrike Tontsch-Grunt Ju Zhang Paul Nicklin Bingke Yu Yu wang Yuan He Xu Tan Tsinghua-Peking Center for Life Sciences Beijing Advanced Innovation Center for Structural BiologyBeijing Frontier Research Center for Biological StructureMOE Key Laboratory of Bioorganic Phosphorus Chemistry and Chemical BiologySchool of Pharmaceutical SciencesTsinghua UniversityBeijing 100084China Chinese Institutes for Medical Research Beijing 100069China Boehringer Ingelheim RCV GmbH&Co KG ViennaAustria College of Life Sciences and Oceanography Shenzhen UniversityShenzhen 518060China Research Beyond Borders Boehringer IngelheimBiberach an der RissGermany Research Beyond Borders Boehringer IngelheimShanghai 200120China

DearEditor,The coronavirus disease 2019(COVID-19)pandemic caused great global morbidity and mortality concurrent with astronomical socioeconomic damages and *** now,the culpable pathogen,SARS-CoV-2,has infected over 6 hundred million people resulting in more than 6 million deaths worldwide(WHO SARSCoV-2 cases).There is an urgent need for rapid development of effective and affordable therapeutics for COVID-19 patients.

关键词： mortality spectrum compound