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Transrectal ultrasound examination of prostate cancer guided by fusion imaging of multiparametric MRI and TRUS:avoiding unnecessary mpMRI-guided targeted biopsy

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Asian Journal of Andrology 2023年第3期25卷 410-415页

作者： Guang Xu Jun-Heng Li Li-Hua Xiang Bin Yang Yun-Chao Chen yi-kang sun Bing-Hui Zhao Jian Wu Li-Ping sun Hui-Xiong Xu Department of Medical Ultrasound Center of Minimally Invasive Treatment for TumorShanghai Tenth People’s HospitalUltrasound Research and Education InstituteClinical Research Center for Interventional MedicineSchool of MedicineTongji UniversityShanghai 200072China Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment Shanghai 200072China Department of Radiology Shanghai Tenth People’s HospitalSchool of MedicineTongji UniversityShanghai 200072China Department of Urology Shanghai Tenth People’s HospitalSchool of MedicineTongji UniversityShanghai 200072China Department of Medical Ultrasound Xiang’an Hospital of Xiamen UniversityXiamen 361101China Department of Ultrasound Zhongshan HospitalInstitute of Ultrasound in Medicine and EngineeringFudan UniversityShanghai 200032China

The purpose of this study was to explore transrectal ultrasound(TRUS)findings of prostate cancer(PCa)guided by multiparametric magnetic resonance imaging(mpMRI)and to improve the Prostate Imaging Reporting and Data System(PI-RADS)system for avoiding unnecessary mpMRI-guided targeted biopsy(TB).From January 2018 to October 2019,fusion mpMRI and TRUS-guided biopsies were performed in 162 consecutive *** study included 188 suspicious lesions on mpMRI in 156 patients,all of whom underwent mpMRI-TRUS fusion imaging-guided TB and 12-core transperineal systematic biopsy(SB).Univariate analyses were performed to investigate the relationship between TRUS features and ***,logistic regression analysis with generalized estimating equations was performed to determine the independent predictors of PCa and obtain the fitted probability of *** detection rates of PCa based on TB alone,SB alone,and combined SB and TB were 55.9%(105 of 188),52.6%(82 of 156),and 62.8%(98 of 156),*** significant predictors of PCa on TRUS were hypoechogenicity(odds ratio[OR]:9.595,P=0.002),taller-than-wide shape(OR:3.539,P=0.022),asymmetric vascular structures(OR:3.728,P=0.031),close proximity to capsule(OR:3.473,P=0.040),and irregular margins(OR:3.843,P=0.041).We propose subgrouping PI-RADS score 3 into categories 3a,3b,3c,and 3d based on different numbers of TRUS predictors,as the creation of PI-RADS 3a(no suspicious ultrasound features)could avoid 16.7%of mpMRI-guided *** stratification of PCa with mpMRI-TRUS fusion imaging-directed ultrasound features could avoid unnecessary mpMRI-TBs.

关键词： fusion biopsy multiparametric MRI prostate cancer transrectal ultrasound

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Added value of shear-wave elastography in the prediction of extracapsular extension and seminal vesicle invasion before radical prostatectomy

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Asian Journal of Andrology 2023年第2期25卷 259-264页

作者： yi-kang sun Yang Yu Guang Xu Jian Wu Yun-Yun Liu Shuai Wang Lin Dong Li-Hua Xiang Hui-Xiong Xu Department of Medical Ultrasound Center of Minimally Invasive Treatment for TumorShanghai Tenth People’s HospitalUltrasound Research and Education InstituteClinical Research Center for Interventional MedicineSchool of MedicineTongji UniversityShanghai 200072China Department of Ultrasound Zhongshan HospitalInstitute of Ultrasound in Medicine and EngineeringFudan UniversityShanghai 200032China Department of Urology Shanghai Tenth People’s HospitalSchool of MedicineTongji UniversityShanghai 200072China

The purpose of this study was to analyze the value of transrectal shear-wave elastography(SWE)in combination with multivariable tools for predicting adverse pathological features before radical prostatectomy(RP).Preoperative clinicopathological variables,multiparametric magnetic resonance imaging(mp-MRI)manifestations,and the maximum elastic value of the prostate(Emax)on SWE were retrospectively *** accuracy of SWE for predicting adverse pathological features was evaluated based on postoperative pathology,and parameters with statistical significance were *** diagnostic performance of various models,including preoperative clinicopathological variables(model 1),preoperative clinicopathological variables+mp-MRI(model 2),and preoperative clinicopathological variables+mp-MRI+SWE(model 3),was evaluated with area under the receiver operator characteristic curve(AUC)*** was significantly higher in prostate cancer with extracapsular extension(ECE)or seminal vesicle invasion(SVI)with both Pying patients at high risk of adverse pathology.

关键词： extracapsular extension prostate cancer seminal vesicle invasion shear-wave elastography transrectal ultrasound

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The Functional Redundancy of Neddylation E2s and E3s in Modulating the Fitness of Regulatory T Cells

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Research 2024年第2期2023卷 373-387页

作者： Di Wu yi sun Cancer Institute(Key Laboratory of Cancer Prevention and Intervention China National Ministry of Education)of the Second Affiliated Hospital and Institute of Translational MedicineZhejiang University School of MedicineHangzhou 310029China Cancer Center of Zhejiang University Hangzhou 310029China Zhejang Provincial Clinical Research Center for Cancer Zhejang ProvinceChina Key Laboratory of Molecular Biology in Medical Sciences Zhejang ProvinceChina Research Center for Life Science and Human Health Binjiang Institute of Zhejiang UniversityHangzhou 310053China

Neddylation is necessary for activation of Cullin-RING ligases(CRLs),which degrade various immune regulatory *** recent study showed that while depletion of neddylation E2-E3 pair Ube2f-Sag in regulatory T(T_(reg))cells had no obvious phenotype,the same depletion of either Ube2m or Rbx1 caused inflammation disorders with different *** these E2s or E3s compensate each other in functional regulations of T_(reg)cells is,however,previously *** this report,we generated Foxp3^(Cre);Ube2m^(fl/fl);Ube2f^(fl/fl)or Foxp3^(Cre);Rbx1^(fl/fl);Sag^(fl/fl)double-null mice by simultaneous deletion of both neddylation E2s or E3s in T_(reg)cells,***,Ube2m&Ube2f double-null mice developed much severe autoimmune phenotypes than did Ube2m-null mice,indicating that Ube2m markedly compensates Ube2f in T_(reg)*** minor worsened autoimmune phenotypes seen at the very early stage in Rbx1&Sag double-null than Rbx1-null mice is likely due to already severe phenotypes of the later,indicating a minor compensation of Rbx1 for *** RNA profiling-based analyses revealed that up-and down-regulations of few signaling pathways in T_(reg)cells are associated with the severity of autoimmune ***,severer inflammation phenotypes seen in mice with double E3-null than with double E2-null T_(reg)cells indicate a neddylation-independent mechanism of 2 E3s,also known to serve as the RING component of CRLs in regulation of T_(reg)cell fitness.

关键词： Foxp3 inflammation markedly

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Improved Twin Support Vector Machine Algorithm and Applications in Classification Problems

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China Communications 2024年第5期21卷 261-279页

作者： sun yi Wang Zhouyang Beijing University of Posts and Telecommunications School of Computer Science(National Pilot Software Engineering School) Beijing University of Posts and Telecommunications International School

The distribution of data has a significant impact on the results of *** the distribution of one class is insignificant compared to the distribution of another class,data imbalance *** will result in rising outlier values and ***,the speed and performance of classification could be greatly *** the above problems,this paper starts with the motivation and mathematical representing of classification,puts forward a new classification method based on the relationship between different classification *** with the vector characteristics of the actual problem and the choice of matrix characteristics,we firstly analyze the orderly regression to introduce slack variables to solve the constraint problem of the lone *** we introduce the fuzzy factors to solve the problem of the gap between the isolated points on the basis of the support vector *** introduce the cost control to solve the problem of sample ***,based on the bi-boundary support vector machine,a twostep weight setting twin classifier is *** can help to identify multitasks with feature-selected patterns without the need for additional optimizers,which solves the problem of large-scale classification that can’t deal effectively with the very low category distribution gap.

关键词： fuzzy ordered regression(OR) relaxing variables twin support vector machine

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Bioinspired nanocomposites with self-adaptive mechanical properties

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Nano Research 2024年第2期17卷 633-648页

作者： Grant Kitchen Bohan sun sung Hoon kang 13400 N Charles St Department of Materials Science and EngineeringJohns Hopkins UniversityBaltimore 21218USA 23400 N Charles St Department of Mechanical EngineeringJohns Hopkins UniversityBaltimore 21218USA 33400 N Charles St Hopkins Extreme Materials InstituteJohns Hopkins UniversityBaltimore 21218USA

Conventional synthetic materials have fixed mechanical properties and suffer defects,damage,and degradation over *** makes them unable to adapt to changing environments and leads to limited ***,self-adaptive materials inspired by natural materials have emerged as a solution to address these *** the ability to change their mechanical properties based on changing mechanical environments,repairing defects,and maintaining their mechanical properties,these materials can lead to improved performance while decreasing *** this review,we explore self-adaptive phenomena found in nature that have inspired the development of synthetic self-adaptive materials,and the mechanisms that have been employed to create the next generation of *** potential applications of these materials,the challenges that existing approaches face,and future research opportunities are also discussed.

关键词： nanocomposites self-adaptive materials bioinspired materials force-activated resilience

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Neddylation Regulation of Immune Responses

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Research 2024年第3期2023卷 545-559页

作者： Hongmei Mao Xin Lin yi sun Cancer Institute(Key Laboratory of Cancer Prevention and Intervention China National Ministry of Education)of the Second Affiliated Hospital and Institute of Translational MedicineZhejiang University School of MedicineHangzhou 310029China Institute for Immunology School of MedicineTsinghua UniversityBeijing 100084China Changping Laboratory Beijing 102206China Cancer Center of Zhejiang University Hangzhou 310029China Zhejiang Provincial Clinical Research Center for Cancer HangzhouZhejiang ProvinceChina Key Laboratory of Molecular Biology in Medical Sciences HangzhouZhejiang ProvinceChina Research Center for Life Science and Human Health Binjiang Institute of Zhejiang UniversityHangzhou 310053China.

Neddylation plays a vital role in post-translational modification, intricately shaping the regulation of diverse biological processes, including those related to cellular immune responses. In fact, neddylation exerts control over both innate and adaptive immune systems via various mechanisms. Specifically, neddylation influences the function and survival of innate immune cells, activation of pattern recognition receptors and GMP-AMP synthase–stimulator of interferon genes pathways, as well as the release of various cytokines in innate immune reactions. Moreover, neddylation also governs the function and survival of antigen-presenting cells, which are crucial for initiating adaptive immune reactions. In addition, neddylation regulates T cell activation, proliferation, differentiation, survival, and their effector functions, thereby ensuring an appropriate adaptive immune response. In this review, we summarize the most recent findings in these aspects and delve into the connection between dysregulated neddylation events and immunological disorders, especially inflammatory diseases. Lastly, we propose future directions and potential treatments for these diseases by targeting neddylation.

关键词： activation thereby initiating

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Local Hybrid Linear State Estimation for Electric Power Systems Using Stream Processing

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CSEE Journal of Power and Energy Systems 2024年第3期10卷 1259-1268页

作者： kang sun Manyun Huang Zhinong Wei Yuzhang Lin Guoqiang sun College of Energy and Electrical Engineering Hohai UniversityNanjing 210098China Department of Department of Electrical and Computer Engineering University of Massachusetts LowellLowell MA 01854USA IEEE

The increasing penetration of renewable energy resources with highly fluctuating outputs has placed increasing concern on the accuracy and timeliness of electric power system state estimation(SE).Meanwhile,we note that only a fraction of system states fluctuate at the millisecond level and require to be *** such,refreshing only those states with significant variation would enhance the computational efficiency of SE and make fast-continuous update of states ***,this is difficult to achieve with conventional SE methods,which generally refresh states of the entire system every 4–5 *** this context,we propose a local hybrid linear SE framework using stream processing,in which synchronized measurements received from phasor measurement units(PMUs),and trigger/timingmode measurements received from remote terminal units(RTUs)are used to update the associated local ***,the measurement update process efficiency and timeliness are enhanced by proposing a trigger measurement-based fast dynamic partitioning algorithm for determining the areas of the system with states requiring *** particular,non-iterative hybrid linear formulations with both RTUs and PMUs are employed to solve the local SE *** timeliness,accuracy,and computational efficiency of the proposed method are demonstrated by extensive simulations based on IEEE 118-,300-,and 2383-bus systems.

关键词： Fast dynamic partitioning local hybrid linear state estimation phasor measurement units stream processing timeliness trigger/timing-mode measurements

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Molecular Chaperone-Dependent Polymer Translocation through Nanopores: The Effects of Chaperone Concentration and Chaperone-Polymer Interaction

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Chinese Journal of Polymer Science 2024年第1期42卷 125-132,I0011页

作者： Chang-Sheng Zuo kang Wang Li-Zhen sun Ting-Ting sun Department of Physics Zhejiang University of Science and TechnologyHangzhou 310023China Department of Applied Physics Zhejiang University of TechnologyHangzhou 310014China

The polymer translocation through a nanopore from a donor space(or named cis side) to a receiver space(trans side) in the chaperone-induced crowded environment has attracted increasing attention in recent years due to its significance in biological systems and technological applications. In this work, we mainly focus on the effects of chaperone concentration and chaperone-polymer interaction on the polymer translocation. By assuming the polymer translocation to be a quasi-equilibrium process, the free energy F of the polymer can be estimated by Rosenbluth-Rosenbluth method and then the translocation time τ can be calculated by Fokker-Plank equation based on the obtained free energy landscape. Our calculation results show that the translocation time can be controlled by independently tuning the chaperone concentration and chaperone-polymer interaction at the cis side or the trans side. There exists a critical chaperone-polymer attraction ε~*=-0.2 at which the volume exclusion and interaction effects of the chaperone can balance each other. Additionally, we also find that at large chaperone-polymer attraction, the translocation time is mainly governed by the diffusion coefficient of the polymer.

关键词： Polymer translocation Rosenbluth-Rosenbluth method Fokker-Plank equation Free energy landscapes

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NADPH oxidase 4(NOX4)as a biomarker and therapeutic target in neurodegenerative diseases

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Neural Regeneration Research 2024年第9期19卷 1961-1966页

作者： Napissara Boonpraman sun Shin yi BK21 four Program Department of Medical SciencesSoonchunhyang UniversityAsanSouth Korea Department of Biomedical Laboratory Science Soonchunhyang UniversityAsanSouth Korea iConnectome Co.Ltd.CheonanSouth Korea

Diseases like Alzheimer’s and Parkinson’s diseases are defined by inflammation and the damage neurons undergo due to oxidative stress. A primary reactive oxygen species contributor in the central nervous system, NADPH oxidase 4, is viewed as a potential therapeutic touchstone and indicative marker for these ailments. This in-depth review brings to light distinct features of NADPH oxidase 4, responsible for generating superoxide and hydrogen peroxide, emphasizing its pivotal role in activating glial cells, inciting inflammation, and disturbing neuronal functions. Significantly, malfunctioning astrocytes, forming the majority in the central nervous system, play a part in advancing neurodegenerative diseases, due to their reactive oxygen species and inflammatory factor secretion. Our study reveals that aiming at NADPH oxidase 4 within astrocytes could be a viable treatment pathway to reduce oxidative damage and halt neurodegenerative processes. Adjusting NADPH oxidase 4 activity might influence the neuroinflammatory cytokine levels, including myeloperoxidase and osteopontin, offering better prospects for conditions like Alzheimer’s disease and Parkinson’s disease. This review sheds light on the role of NADPH oxidase 4 in neural degeneration, emphasizing its drug target potential, and paving the path for novel treatment approaches to combat these severe conditions.

关键词： Alzheimer’s disease astrocytes mitochondrial dysfunction myeloperoxidase NADPH oxidase 4 NADPH oxidase 4 inhibitors neurodegenerative diseases osteopontin Parkinson’s disease reactive oxygen species

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Prediction of Health Level of Multiform Lithium Sulfur Batteries Based on Incremental Capacity Analysis and an Improved LSTM

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Protection and Control of Modern Power Systems 2024年第2期9卷 21-31页

作者： Hao Zhang Hanlei sun Le kang yi Zhang Licheng Wang Kai Wang School of Materials Science and Engineering Xi’an University of Architecture and Technology in Xi’anShanxi ProvinceChina School of Electrical Engineering Qingdao UniversityQingdao 266000China College of Materials Science and Engineering Xi’an University of Science and TechnologyXi’anShaanxi ProvinceChina School of Energy Sciences and Engineering Nanjing Tech UniversityNanjingJiangsu ProvinceChina School of Information Engineering Zhejiang University of TechnologyHangzhou provinceChina

Capacity estimation plays a crucial role in battery management systems,and is essential for ensuring the safety and reliability of lithium-sulfur(Li-S)*** paper proposes a method that uses a long short-term memory(LSTM)neural network to estimate the state of health(SOH)of Li-S *** method uses health features extracted from the charging curve and incre-mental capacity analysis(ICA)as input for the LSTM *** enhance the robustness and accuracy of the network,the Adam algorithm is employed to optimize specific *** data from three different groups of batteries with varying nominal capac-ities are used to validate the proposed *** results demonstrate the effectiveness of the method in accurately estimating the capacity degradation of all three ***,the study examines the impact of different lengths of network training sets on capacity *** results reveal that the ICA-LSTM model achieves a prediction accuracy of mean absolute error 4.6%and mean squared error 0.21%with three different training set lengths of 20%,40%,and 60%.The analysis demonstrates that the lightweight model maintains high SOH estimation accu-racy even with a small training set,and exhibits strong adaptive and generalization capabilities when applied to different Li-S ***,the proposed method,supported by experimental validation and analysis,demonstrates its efficacy in ensuring accurate and reliable SOH estimation,thereby enhancing the safety and per-formance of Li-S *** Terms—Adam algorithm,incremental capacity analysis,Li-S battery,long short-term memory,state of health.

关键词： Adam algorithm incremental capacity analysis Li-S battery long short-term memory state of health

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