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| 1 | EMTP-type Program Realization of Krylov Subspace Based Model Reduction Methods for Large-Scale Active Distribution Network显示文摘Effective model reduction methods are required to deal with new challenges in active distribution network simulations that are on a large scale and have complicated structures.In the development of advanced electromagnetic transient simulation programs,automated model reduction plays an important role.This paper proposes an automated realization algorithm for the Krylov subspace based model reduction methods of an active distribution network with which the reduced model can be automatically established according to a given threshold of reduction error.The combined state-space nodal analysis framework is employed to apply the automated model reduction algorithm in popular EMTP-type simulation programs.Simulations are performed using PSCAD and a self-developed program to show the feasibility and validity of the proposed methods. | Chengshan Wang Hao Yu Peng Li Jianzhong Wu Chengdi Ding Guanyu Song Dun Lin Feng Xing | 2015 | CSEE Journal of Power and Energy Systems2015，1，1： | 8 |
| 2 | Integrated single-cell RNA sequencing analysis reveals distinct cellular and transcriptional modules associated with survival in lung cancer显示文摘Lung adenocarcinoma(LUAD)and squamous carcinoma(LUSC)are two major subtypes of non-small cell lung cancer with distinct pathologic features and treatment paradigms.The heterogeneity can be attributed to genetic,transcriptional,and epigenetic parameters.Here,we established a multi-omics atlas,integrating 52 single-cell RNA sequencing and 2342 public bulk RNA sequencing.We investigated their differences in genetic amplification,cellular compositions,and expression modules.We revealed that LUAD and LUSC contained amplifications occurring selectively in subclusters of AT2 and basal cells,and had distinct cellular composition modules associated with poor survival of lung cancer.Malignant and stage-specific gene analyses further uncovered critical transcription factors and genes in tumor progression.Moreover,we identified subclusters with proliferating and differentiating properties in AT2 and basal cells.Overexpression assays of ten genes,including sub-cluster markers AQP5 and KPNA2,further indicated their functional roles,providing potential targets for early diagnosis and treatment in lung cancer. | Li Zhang Yiming Zhang Chengdi Wang Ying Yang Yinyun Ni Zhoufeng Wang Tingting Song Menglin Yao Zhiqiang Liu Ningning Chao Yongfeng Yang Jun Shao Zhidan Li Ran Zhou Li Chen Dan Zhang Yuancun Zhao Wei Liu Yupeng Li Ping He Jing-wen Lin Yuan Wang Kang Zhang Lu Chen Weimin Li | 2022 | Signal Transduction and Targeted Therapy2022，7，2： | 2 |
| 3 | COVID-19 in early 2021: current status and looking forward显示文摘Since the first description of a coronavirus-related pneumonia outbreak in December 2019,the virus SARS-CoV-2 that causes the infection/disease(COVID-19)has evolved into a pandemic,and as of today,>100 million people globally in over 210 countries have been confirmed to have been infected and two million people have died of COVID-19.This brief review summarized what we have hitherto learned in the following areas:epidemiology,virology,and pathogenesis,diagnosis,use of artificial intelligence in assisting diagnosis,treatment,and vaccine development.As there are a number of parallel developments in each of these areas and some of the development and deployment were at unprecedented speed,we also provided some specific dates for certain development and milestones so that the readers can appreciate the timing of some of these critical events.Of note is the fact that there are diagnostics,antiviral drugs,and vaccines developed and approved by a regulatory within 1 year after the virus was discovered.As a number of developments were conducted in parallel,we also provided the specific dates of a number of critical events so that readers can appreciate the evolution of these research data and our understanding.The world is working together to combat this pandemic.This review also highlights the research and development directions in these areas that will evolve rapidly in the near future. | Chengdi Wang Zhoufeng Wang Guangyu Wang Johnson Yiu-Nam Lau Kang Zhang Weimin Li | 2021 | Signal Transduction and Targeted Therapy2021，6，4： | 1 |
| 4 | The application of artificial intelligence and radiomics in lung cancer显示文摘Lung cancer is one of the most leading causes of death throughout the world,and there is an urgent requirement for the precision medical management of it.Artificial intelligence(AI)consisting of numerous advanced techniques has been widely applied in the field of medical care.Meanwhile,radiomics based on traditional machine learning also does a great job in mining information through medical images.With the integration of AI and radiomics,great progress has been made in the early diagnosis,specific characterization,and prognosis of lung cancer,which has aroused attention all over the world.In this study,we give a brief review of the current application of AI and radiomics for precision medical management in lung cancer. | Yaojie Zhou Xiuyuan Xu Lujia Song Chengdi Wang Jixiang Guo Zhang Yi Weimin Li | 2020 | Precision Clinical Medicine2020，3，3： | 1 |
| 5 | The epidemiology and therapeutic options for the COVID-19显示文摘An outbreak of coronavirus disease 2019(COVID-19),a disease caused by a novel pneumonia virus,has affected over 200 countries and regions worldwide.With the increasing number of patients and deaths,WHO have declared it as a global pandemic currently,indicating a third large-scale epidemic coronavirus has appeared since the emergence of severe acute respiratory syndrome coronavirus(SARS)and Middle-East respiratory syndrome(MERS)in the twenty-first century.Considering the great harm it has caused,researchers throughout the world have been chasing to exploit the pathophysiology,characteristics,and potential remedies for COVID-19 to better battle the outbreak.Therefore,the current study revisits advances of the virology,epidemiology,clinical features,therapeutic options,and prevention of COVID-19.The features of asymptomatic carriers are also been explored. | Jingwei Li Jun Shao Chengdi Wang Weimin Li | 2020 | Precision Clinical Medicine2020，3，2： | 1 |
| 6 | The heterogeneous immune landscape between lung adenocarcinoma and squamous carcinoma revealed by single-cell RNA sequencing显示文摘A thorough interrogation of the immune landscape is crucial for immunotherapy strategy selection and prediction of clinical responses in non-small-cell lung cancer(NSCLC)patients.Single-cell RNA sequencing(scRNA-seq)techniques have prompted the opportunity to dissect the distinct immune signatures between lung adenocarcinoma(LUAD)and lung squamous cell carcinoma(LUSC),the two major subtypes of NSCLC.Here,we performed scRNA-seq on 72,475 immune cells from 40 samples of tumor and matched adjacent normal tissues spanning 19 NSCLC patients,and drew a systematic immune cell transcriptome atlas.Joint analyses of the distinct cellular compositions,differentilly expressed genes(DEGs),cell-cell interactions,pseudotime trajectory,transcriptomic factors and prognostic factors based on The Cancer Genome Atlas(TCGA),revealed the central roles of cytotoxic and effector T and NK cells and the distinct functional macrophages(Mo)subtypes in the immune microenvironment heterogeneity between LUAD and LUSC.The dominant subtype of Mo was FABP4-Mp in LUAD and SPP1-Mo in LUSC.Importantly,we identifieda novel lymphocyte-related Mo cluster,which we named SELENOP-Mo,and further established its antitumor role in both types,especially in LUAD.Our comprehensive depiction of the immune heterogeneity and definition of Mp clusters could help design personalized treatment for lung cancer patients in clinical practice. | Chengdi Wang Qiuxiao Yu Tingting Song Zhoufeng Wang Lujia Song Ying Yang Jun Shao Jingwei Li Yinyun Ni Ningning Chao Li Zhang Weimin Li | 2022 | Signal Transduction and Targeted Therapy2022，7，9： | 1 |
| 7 | 英文摘要显示文摘 | WANG Chengshan GAO Fei LI Peng HUANG Bibin DING Chengdi YU Hao | 2012 | 中国电机工程学报2012，32，25： | 0 |
| 8 | The long-term health outcomes, pathophysiological mechanisms and multidisciplinary management of long COVID显示文摘There have been hundreds of millions of cases of coronavirus disease 2019(COVID-19),which is caused by severe acute respiratory syndrome coronavirus 2(SARS-CoV-2).With the growing population of recovered patients,it is crucial to understand the long-term consequences of the disease and management strategies.Although COVID-19 was initially considered an acute respiratory illness,recent evidence suggests that manifestations including but not limited to those of the cardiovascular,respiratory,neuropsychiatric,gastrointestinal,reproductive,and musculoskeletal systems may persist long after the acute phase.These persistent manifestations,also referred to as long COVID,could impact all patients with COVID-19 across the full spectrum of illness severity.Herein,we comprehensively review the current literature on long COVID,highlighting its epidemiological understanding,the impact of vaccinations,organ-specific sequelae,pathophysiological mechanisms,and multidisciplinary management strategies.In addition,the impact of psychological and psychosomatic factors is also underscored.Despite these crucial findings on long COVID,the current diagnostic and therapeutic strategies based on previous experience and pilot studies remain inadequate,and well-designed clinical trials should be prioritized to validate existing hypotheses.Thus,we propose the primary challenges concerning biological knowledge gaps and efficient remedies as well as discuss the corresponding recommendations. | Jingwei Li Yun Zhou Jiechao Ma Qin Zhang Jun Shao Shufan Liang Yizhou Yu Weimin Li Chengdi Wang | 2023 | Signal Transduction and Targeted Therapy2023，8，12： | 0 |
| 9 | Novel tools for early diagnosis and precision treatment based on artificial intelligence显示文摘Lung cancer has the highest mortality rate among all cancers in the world.Hence,early diagnosis and personal-ized treatment plans are crucial to improving its 5-year survival rate.Chest computed tomography(CT)serves as an essential tool for lung cancer screening,and pathology images are the gold standard for lung cancer diagnosis.However,medical image evaluation relies on manual labor and suffers from missed diagnosis or misdiagnosis,and physician heterogeneity.The rapid development of artificial intelligence(AI)has brought a whole novel op-portunity for medical task processing,demonstrating the potential for clinical application in lung cancer diagnosis and treatment.AI technologies,including machine learning and deep learning,have been deployed extensively for lung nodule detection,benign and malignant classification,and subtype identification based on CT images.Furthermore,AI plays a role in the non-invasive prediction of genetic mutations and molecular status to provide the optimal treatment regimen,and applies to the assessment of therapeutic efficacy and prognosis of lung cancer patients,enabling precision medicine to become a reality.Meanwhile,histology-based AI models assist patholo-gists in typing,molecular characterization,and prognosis prediction to enhance the efficiency of diagnosis and treatment.However,the leap to extensive clinical application still faces various challenges,such as data sharing,standardized label acquisition,clinical application regulation,and multimodal integration.Nevertheless,AI holds promising potential in the field of lung cancer to improve cancer care. | Jun Shao Jiaming Feng Jingwei Li Shufan Liang Weimin Li Chengdi Wang | 2023 | Chinese Medical Journal Pulmonary and Critical Care Medicine2023，1，3： | 0 |
| 10 | From tuberculosis bedside to bench:UBE2B splicing as a potential biomarker and its regulatory mechanism显示文摘Alternative splicing(AS)is an important approach for pathogens and hosts to remodel transcriptome.However,tuberculosis(TB)-related AS has not been sufficiently explored.Here we presented the first landscape of TB-related AS by long-read sequencing,and screened four AS events(S100A8-intron1-retention intron,RPS20-exon1-alternaitve promoter,KIF13B-exon4-skipping exon(SE)and UBE2B-exon7-SE)as potential biomarkers in an in-house cohort-1.The validations in an in-house cohort-2(2274 samples)and public datasets(1557 samples)indicated that the latter three AS events are potential promising biomarkers for TB diagnosis,but not for TB progression and prognosis.The excellent performance of classifiers further underscored the diagnostic value of these three biomarkers.Subgroup analyses indicated that UBE2B-exon7-SE splicing was not affected by confounding factors and thus had relatively stable performance.The splicing of UBE2B-exon7-SE can be changed by heat-killed mycobacterium tuberculosis through inhibiting SRSF1 expression.After heat-killed mycobacterium tuberculosis stimulation,231 ubiquitination proteins in macrophages were differentially expressed,and most of them are apoptosis-related proteins.Taken together,we depicted a global TB-associated splicing profile,developed TB-related AS biomarkers,demonstrated an optimal application scope of target biomarkers and preliminarily elucidated mycobacterium tuberculosis-host interaction from the perspective of splicing,offering a novel insight into the pathophysiology of TB. | Mengyuan Lyu Jian Zhou Yanbing Zhou Weelic Chong Wei Xu Hongli Lai Lu Niu Yang Hai Xiaojun Yao Sheng Gong Qinglan Wang Yi Chen Yili Wang Liyu Chen Zengwanggema Jiongjiong Zeng Chengdi Wang Binwu Ying | 2023 | Signal Transduction and Targeted Therapy2023，8，3： | 0 |
| 11 | 社工介入社区日间照料中心的养老服务研究显示文摘目前,我国已进入老龄化社会,社会养老保障的压力日趋增大。作为我国养老服务方式的有效补充,社区日间照料养老服务能够缓解养老压力。但是,随着社会经济的发展,传统的社区日间照料养老服务面临着严峻的挑战,而社工介入社区日间照料养老服务,可以弥补传统的社区日间照料养老服务的不足之处。通过对调查数据的统计分析,了解老年人的日常生活状况及日间照料中心的发展状况,明确社工介入社区日间照料中心所要扮演的角色和面临的困境,提高社会养老服务水平。 | 刘延利 刘鑫昆 杜照柳 LV Qiaona ZOU Libin SONG Lin WANG Chengdi | 2018 | 山东英才学院学报2018，0，1： | 0 |
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