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In situ-prepared homogeneous supramolecular organic framework drug delivery systems(sof-DDSs)：Overcoming cancer multidrug resistance and controlled release

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Chinese Chemical Letters 2017年第4期28卷 798-806页

作者： Jia Tian Chi Yao wen-lin yang Lei Zhang Dan-Wei Zhang Hui Wang Fan Zhang Yi Liu Zhan-Ting Li Collaborative Innovation Center of Chemistry for Energy Materials (iChEM) Department of Chemistry Fudan University Shanghai 200433 China Department of Pathology School of Basic Medical Sciences Fudan University Shanghai 200032 China The Molecular Foundry Lawrence Berkeley National Laboratory Berkeley 94720 United States

Water-soluble three-dimensional porous supramolecular organic frameworks（SOFs） have been demonstrated as a new generation of homogeneous polycationic platforms for anti-cancer drug *** new SOF drug delivery systems（sof-DDSs） can adsorb dianionic pemetrexed（PMX）,a clinically used chemotherapeutic agent instantaneously upon dissolving in water,which is driven by both electrostatic attraction and *** in situ-prepared PMX@SOFs are highly stable and can avoid important release of the drug during plasm circulation and overcome the multidrug resistance of human breast MCF-7/Adr cancer cells to enter the cancer *** microenvironment of cancer cells promotes the release of the drug in cancer *** in vitro and in vivo studies have revealed that sofDDSs considerably improve the treatment efficacy of PMX,leading to 6-12-fold reduction of the IC50 values,as compared with that of PMX *** new drug delivery strategy omits the loading process required by most of reported nanoparticle-based delivery systems and thus holds promise for future development of low-cost drug delivery systems

关键词： Supramolecular organic framework In situ preparation Drug delivery Controlled release Pemetrexed Human breast cancer Multidrug resistance

能量收集双向中继网络的高能效联合中继选择和功率分配算法

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电子学报 2017年第5期45卷 1124-1129页

作者：丁长文杨霖李高祥电子科技大学通信抗干扰国家级重点实验室四川成都611731 中国电子科技集团公司第五十四所通信网信息传输与分发技术重点实验室河北石家庄050081

为了实现双向中继系统在满足传输速率要求时的最小功率消耗,基于功率分割中继协议,在完美和非完美的信道估计两种不同的情况下,提出了能量收集双向中继网络的高能效联合中继选择和功率分配算法,得到了两个信源的最优功率分配和中继节点... 详细信息

为了实现双向中继系统在满足传输速率要求时的最小功率消耗,基于功率分割中继协议,在完美和非完美的信道估计两种不同的情况下,提出了能量收集双向中继网络的高能效联合中继选择和功率分配算法,得到了两个信源的最优功率分配和中继节点最优的能量收集比例.仿真结果表明,信道估计误差会增加系统的功率消耗;与传统双向中继比较发现,能量收集双向中继能够实现更少的系统功率消耗.

关键词：双向中继网络中继选择功率分配能量收集信道估计误差

Hippo信号通路与海洋无脊椎动物天然免疫

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中国生物化学与分子生物学报 2023年第1期39卷 33-41页

作者：任洁林文洋阮灵伟自然资源部第三海洋研究所自然资源部海洋生物遗传资源重点实验室福建厦门361005

Hippo信号通路是一条在进化上保守的丝氨酸/苏氨酸激酶级联信号通路,主要参与调控器官大小、组织再生、胚胎发育和肿瘤发生。在果蝇中,经典的Hippo信号通路主要由Hippo(Hpo)、Salvador(Sav)、Warts(Wts)、MOB as tumor suppressor (Mats... 详细信息

Hippo信号通路是一条在进化上保守的丝氨酸/苏氨酸激酶级联信号通路,主要参与调控器官大小、组织再生、胚胎发育和肿瘤发生。在果蝇中,经典的Hippo信号通路主要由Hippo(Hpo)、Salvador(Sav)、Warts(Wts)、MOB as tumor suppressor (Mats)、Yorkie(Yki)和Scalloped(Sd)组成。其不仅可通过Fat(Ft)和Crumbs(Crb)等上游分子进行调控,而且还能与NF-κB途径、IFN途径、ROS途径、cGAS-STING信号通路以及Wnt信号通路发生交联,共同调控天然免疫过程。海洋无脊椎动物缺乏获得性免疫,主要依靠天然免疫抵御病原体的侵害。Hippo信号通路作为与生长发育和天然免疫密切相关的信号通路,对海洋无脊椎动物的研究中有着重要的意义。目前,对于海洋无脊椎动物Hippo信号通路所知甚少,关于其在天然免疫中的研究更是寥寥无几。开展Hippo信号通路在海洋无脊椎动物天然免疫过程中功能机制的研究,将为深入了解海洋无脊椎动物的天然免疫调控提供一种新思路。本文通过对Hippo信号通路的组成、调控机制以及其在海洋无脊椎动物天然免疫中作用的研究进行综述。将为海洋无脊椎动物天然免疫研究提供有益的参考。

关键词： Hippo信号通路天然免疫海洋无脊椎动物

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Targeting TrkB–PSD-95 coupling to mitigate neurological disorders

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Neural Regeneration Research 2025年第3期20卷 715-724页

作者： Xin yang Yu-wen Alvin Huang John Marshall Department of Molecular Biology Cell Biology and BiochemistryBrown UniversityProvidenceRIUSA Department of Neurology Warren Alpert Medical School of Brown UniversityProvidenceRIUSA Center for Translational Neuroscience Robert J.and Nancy D.Carney Institute for Brain Science and Brown Institute for Translational ScienceBrown UniversityProvidenceRIUSA

Tropomyosin receptor kinase B(TrkB)signaling plays a pivotal role in dendritic growth and dendritic spine formation to promote learning and *** activity-dependent release of brain-derived neurotrophic factor at synapses binds to pre-or postsynaptic TrkB resulting in the strengthening of synapses,reflected by long-term ***,the association of postsynaptic density protein-95 with TrkB enhances phospholipase Cγ-Ca^(2+)/calmodulin-dependent protein kinaseⅡand phosphatidylinositol 3-kinase-mechanistic target of rapamycin signaling required for long-term *** this review,we discuss TrkB-postsynaptic density protein-95 coupling as a promising strategy to magnify brain-derived neurotrophic factor signaling towards the development of novel therapeutics for specific neurological disorders.A reduction of TrkB signaling has been observed in neurodegenerative disorders,such as Alzheimer's disease and Huntington's disease,and enhancement of postsynaptic density protein-95 association with TrkB signaling could mitigate the observed deficiency of neuronal connectivity in schizophrenia and *** with brain-derived neurotrophic factor is problematic,due to poor pharmacokinetics,low brain penetration,and side effects resulting from activation of the p75 neurotrophin receptor or the truncated TrkB.T1 *** TrkB agonists and antibodies that activate TrkB are being intensively investigated,they cannot distinguish the multiple human TrkB splicing isoforms or cell type-specific *** TrkB–postsynaptic density protein-95 coupling provides an alternative approach to specifically boost TrkB signaling at localized synaptic sites versus global stimulation that risks many adverse side effects.

关键词： Angelman syndrome autism brain-derived neurotrophic factor depression neurodegenerative disorder neurodevelopmental disorder postsynaptic density protein-95 synaptic plasticity TrkB

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国内高中信息技术极简教学范式研究综述

福建教育学院学报 2020年第2期21卷 124-128页

作者：林温阳福鼎市第六中学

文章结合可视化文献研究方法,分别从教学范式、教学策划、教学实施、教学评价等四个维度,对国内高中信息技术现有主流教学模式进行价值挖掘与梳理。分析借鉴不同学者的观点,发现高中信息技术课堂要力争做到教学设计精当、授课过程精炼... 详细信息

文章结合可视化文献研究方法,分别从教学范式、教学策划、教学实施、教学评价等四个维度,对国内高中信息技术现有主流教学模式进行价值挖掘与梳理。分析借鉴不同学者的观点,发现高中信息技术课堂要力争做到教学设计精当、授课过程精炼、彰显学生主体、学习方式简明和学习评价简洁,需从选材极简、组材优化、环节极简、语言极简等方面作深入研究。在此,提出构建高中信息技术极简教学模式,为课程改革提供有益借鉴。

关键词：高中信息技术极简教学教学模式教学策略

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营造自主积极的音乐课堂环境

广东农工商职业技术学院学报 2008年第2期24卷 27-28页

作者：林文扬广州市白云区教研室广东广州510515

该文阐述了音乐课堂教学中如何营造自主、积极的课堂环境,指出必须从学生的角度出发,力争满足学生的情感需要和心理需要——需要平等、和谐的师生情感、需要创设情境和营造主动学习的氛围、需要发展的音乐教学评价、需要高素质的音乐教师。

关键词：自主积极音乐教学课堂环境

Application of CCD Technique to Stress and Strain Measurements of Metals

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Semiconductor Photonics and Technology 1999年第4期5卷 242-246页

作者： XING Kai,CAO Chang-nian,yang Dong-sheng GAO Hong-wen,LIU lin,yang Yong-zheng (Dept.of Appl.Phys.,Northwestern Polytechnical University,Xi’an 710072,CHN) 西北工业大学应用物理系陕西西安

Crossed grating stuck to metal surface was used as a strain sensor in the present work, and stress as well as strain were then investigated by accurately determining the change in the position of diffraction spot before and after deformed. A hardware testing system for linear CCD array, data gathering and processing was therefore developed for this purpose. Experimental results showed that the system has a good accuracy and can be used to measure stress and strain of metal surface in a real-time and quantitative manner.

关键词： Crossed Grating linear CCD Array Metal Stress Strain

Return to work in young and middle-aged colorectal cancer survivors:Factors influencing self-efficacy,fear,resilience,and financial toxicity

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World Journal of Gastroenterology 2025年第1期31卷 79-92页

作者： Dan Hu Yue Li Hua Zhang Lian-Lian Wang wen-wen Liu Xin yang Ming-Zhao Xiao Hao-ling Zhang Juan Li Department of Nursing The First Affiliated Hospital of Chongqing Medical UniversityChongqing 400016China Department of Nursing National Clinical Research Center for Child Health and DisordersMinistry of Education Key Laboratory of Child Development and DisordersChildren’s Hospital of Chongqing Medical UniversityChongqing 400014China Department of Gastrointestinal Surgery The First Affiliated Hospital of Chongqing Medical UniversityChongqing 400016China Department of Biomedical Science Advanced Medical and Dental InstituteUniversity Sains MalaysiaPenang 13200Malaysia Academic Affairs Office The First Affiliated Hospital of Chongqing Medical UniversityChongqing 400016China

BACKGROUND Return to work(RTW)serves as an indication for young and middle-aged colorectal cancer(CRC)survivors to resume their normal social ***,these survivors encounter significant challenges during their RTW ***,scientific research is necessary to explore the barriers and facilitating factors of returning to work for young and middle-aged CRC *** To examine the current RTW status among young and middle-aged CRC survivors and to analyze the impact of RTW self-efficacy(RTW-SE),fear of progression(FoP),eHealth literacy(eHL),family resilience(FR),and financial toxicity(FT)on their RTW *** A cross-sectional investigation was adopted in this *** September 2022 to February 2023,a total of 209 participants were recruited through a convenience sampling method from the gastrointestinal surgery department of a class A tertiary hospital in *** investigation utilized a general information questionnaire alongside scales assessing RTW-SE,FoP,eHL,FR,and *** analyze the factors that influence RTW outcomes among young and middle-aged CRC survivors,Cox regression modeling and Kaplan-Meier survival analysis were *** A total of 43.54%of the participants successfully returned to work,with an average RTW time of 100 *** regression univariate analysis revealed that RTW-SE,FoP,eHL,FR,and FT were significantly different between the non-RTW and RTW groups(P<0.05).Furthermore,Cox regression multivariate analysis identified per capita family monthly income,job type,RTW-SE,and FR as independent influencing factors for RTW(P<0.05).CONCLUSION The RTW rate requires further *** levels of RTW-SE and FR were found to significantly increase RTW among young and middle-aged CRC *** professionals should focus on modifiable factors,such as RTW-SE and FR,to design targeted RTW support programs,thereby facilitating their timely reintegration into mainstream society.

关键词： Return to work Colorectal neoplasms Return-to-work self-efficacy Fear of progression Family resilience Financial toxicity

The detection, extraction and parameter estimation of extreme-mass-ratio inspirals with deep learning

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Science China(Physics,Mechanics & Astronomy) 2025年第1期Mechanics & Astronomy) .卷 86-96页

作者： Qianyun Yun wen-Biao Han Yi-yang Guo He Wang Minghui Du Hangzhou Institute for Advanced Study University of Chinese Academy of Sciences Shanghai Astronomical Observatory Chinese Academy of Sciences School of Physics and Astronomy Shanghai Jiao Tong University School of Astronomy and Space Science University of Chinese Academy of Sciences Taiji Laboratory for Gravitational Wave Universe (Beijing/Hangzhou) University of Chinese Academy of Sciences Lanzhou Center for Theoretical Physics Key Laboratory of Theoretical Physics of Gansu Province Key Laboratory of Quantum Theory and Applications of MoE Lanzhou University Institute of Theoretical Physics & Research Center of Gravitation Lanzhou University International Centre for Theoretical Physics Asia-Pacific (ICTP-AP) University of Chinese Academy of Sciences (UCAS) Center for Gravitational Wave Experiment National Microgravity Laboratory Institute of Mechanics Chinese Academy of Sciences

One of the primary goals of space-borne gravitational wave detectors is to detect and analyze extreme-mass-ratio inspirals(EMRIs). This task is particularly challenging because EMRI signals are complex, lengthy, and faint. In this work, we introduce a2-layer convolutional neural network(CNN) approach to detect EMRI signals for space-borne detectors, achieving a true positive rate(TPR) of 96.9% at a 1% false positive rate(FPR) for signal-to-noise ratio(SNR) from 50 to 100. Especially, the key intrinsic parameters of EMRIs such as the mass, spin of the supermassive black hole(SMBH) and the initial eccentricity of the orbit can also be inferred directly by employing a neural network. The mass and spin of the SMBH can be determined at 99% and 92% respectively. This will greatly reduce the parameter spaces and computing cost for the following Bayesian parameter *** model also has a low dependency on the accuracy of the waveform model. This study underscores the potential of deep learning methods in EMRI data analysis, enabling the rapid detection of EMRI signals and efficient parameter estimation.

关键词： gravitational wave EMRIs deep-learing