|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | The MDM2-p53 pathway revisited显示文摘The p53 tumor suppressor is a key transcription factor regulating cellular pathways such as DNA repair, cell cycle, apoptosis, angiogenesis, and senescence. It acts as an important defense mechanism against cancer onset and progression, and is negatively regulated by interaction with the oncoprotein MDM2. In human cancers, the TP53 gene is frequently mutated or deleted, or the wild-type p53 function is inhibited by high levels of MDM2, leading to downregulation of tumor suppressive p53 pathways. Thus, the inhibition of MDM2-p53 interaction presents an appealing therapeutic strategy for the treatment of cancer. However, recent studies have revealed the MDM2-p53 interaction to be more complex involving multiple levels of regulation by numerous cellular proteins and epigenetic mechanisms, making it imperative to reexamine this intricate interplay from a holistic viewpoint. This review aims to highlight the multifaceted network of molecules regulating the MDM2-p53 axis to better understand the pathway and exploit it for anticancer therapy. | Subhasree Nag Jiangjiang Qin Kalkunte S.Srivenugopal Minghai Wang Ruiwen Zhang | 2013 | The Journal of Biomedical Research2013，27，4： | 13 |
| 2 | Homogenization of climate series:The basis for assessing climate changes显示文摘Long-term meteorological observation series are fundamental for reflecting climate changes.However,almost all meteorological stations inevitably undergo relocation or changes in observation instruments,rules,and methods,which can result in systematic biases in the observation series for corresponding periods.Homogenization is a technique for adjusting these biases in order to assess the true trends in the time series.In recent years,homogenization has shifted its focus from the adjustments to climate mean status to the adjustments to information about climate extremes or extreme weather.Using case analyses of ideal and actual climate series,here we demonstrate the basic idea of homogenization,introduce new understanding obtained from recent studies of homogenization of climate series in China,and raise issues for further studies in this field,especially with regards to climate extremes,uncertainty of the statistical adjustments,and biased physical relationships among different climate variables due to adjustments in single variable series. | YAN ZhongWei LI Zhen XIA JiangJiang | 2014 | Science China Earth Sciences2014，57，12： | 13 |
| 3 | Security information factor based airborne radar RF stealth显示文摘Radar radio frequency(RF) stealth is very important in electronic war(EW), and waveform design and selection. Existing evaluation rules of radar RF stealth include too many parameters of radar and interceptors, such as Schleher interception factor,which makes it difficult to evaluate radar RF stealth technologies if interceptor parameters are unknown. In communication, security capacity has been presented to describe the possible ability to communicate in complete security. Since the essential of the security capacity is to have the interceptor get none valued information from the emitter, this paper is proposed to study security information factors taking advantage of mutual information to evaluate radar RF stealth under some conditions. Through analyzing mutual information obtained by the radar and the interceptor, this paper defines the security information factor with and without cooperative jamming. Furthermore, this paper deduces the ratio of the match filter to the match incoherent filter and discuss mutual information received by the interceptor. Numerical simulations illustrate radar RF stealth effects based on the security information factor concept under different conditions. | Fei Wang Mathini Sellathurai Weigang Liu Jiangjiang Zhou | 2015 | Journal of Systems Engineering and Electronics2015，26，2： | 9 |
| 4 | A Model Output Machine Learning Method for Grid Temperature Forecasts in the Beijing Area显示文摘In this paper, the model output machine learning (MOML) method is proposed for simulating weather consultation, which can improve the forecast results of numerical weather prediction (NWP). During weather consultation, the forecasters obtain the final results by combining the observations with the NWP results and giving opinions based on their experience. It is obvious that using a suitable post-processing algorithm for simulating weather consultation is an interesting and important topic. MOML is a post-processing method based on machine learning, which matches NWP forecasts against observations through a regression function. By adopting different feature engineering of datasets and training periods, the observational and model data can be processed into the corresponding training set and test set. The MOML regression function uses an existing machine learning algorithm with the processed dataset to revise the output of NWP models combined with the observations, so as to improve the results of weather forecasts. To test the new approach for grid temperature forecasts, the 2-m surface air temperature in the Beijing area from the ECMWF model is used. MOML with different feature engineering is compared against the ECMWF model and modified model output statistics (MOS) method. MOML shows a better numerical performance than the ECMWF model and MOS, especially for winter. The results of MOML with a linear algorithm, running training period, and dataset using spatial interpolation ideas, are better than others when the forecast time is within a few days. The results of MOML with the Random Forest algorithm, year-round training period, and dataset containing surrounding gridpoint information, are better when the forecast time is longer. | Haochen LI Chen YU Jiangjiang XIA Yingchun WANG Jiang ZHU Pingwen ZHANG | 2019 | Advances in Atmospheric Sciences2019，36，10： | 9 |
| 5 | Novel natural product therapeutics targeting both inflammation and cancer显示文摘Inflammation is recently recognized as one of the hallmarks of human cancer. Chronic inflammatory response plays a critical role in cancer development, progression, metastasis, and resistance to chemotherapy. Conversely, the oncogenic aberrations also generate an inflammatory microenvironment, enabling the development and progression of cancer. The molecular mechanisms of action that are responsible for inflammatory cancer and cancer-associated inflammation are not fully understood due to the complex crosstalk between oncogenic and pro-inflammatory genes. However, molecular mediators that regulate both inflammation and cancer, such as NF-κB and STAT have been considered as promising targets for preventing and treating these diseases. Recent works have further demonstrated an important role of oncogenes(e.g., NFAT1, MDM2) and tumor suppressor genes(e.g., p53) in cancer-related inflammation. Natural products that target these molecular mediators have shown anticancer and anti-inflammatory activities in preclinical and clinical studies. Sesquiterpenoids(STs), a class of novel plant-derived secondary metabolites have attracted great interest in recent years because of their diversity in chemical structures and pharmacological activities. At present, we and other investigators have found that dimeric sesquiterpenoids(DSTs) may exert enhanced activity and binding affinity to molecular targets due to the increased number of alkylating centers and improved conformational flexibility and lipophilicity. Here, we focus our discussion on the activities and mechanisms of action of STs and DSTs in treating inflammation and cancer as well as their structure-activity relationships. | Jiangjiang QIN Wei WANG Ruiwen ZHANG | 2017 | Chinese Journal of Natural Medicines2017，15，6： | 8 |
| 6 | A pigeon-inspired optimization algorithm for many-objective optimization problems显示文摘Dear editor,Swarm intelligence optimization algorithms are inspired by the behaviour of biological groups in nature. Such algorithms have the advantages of a clear structure, simple operation, comprehensible principles, strong parallelism, effective search abilities, and strong robustness. They can effectively solve difficult problems that traditional methods cannot. | Zhihua CUI Jiangjiang ZHANG Yechuang WANG Yang CAO Xingjuan CAI Wensheng ZHANG Jinjun CHEN | 2019 | Science China(Information Sciences)2019，62，7： | 6 |
| 7 | Machine Learning−based Weather Support for the 2022 Winter Olympics显示文摘1.A key support for the 2022 Winter Olympics The XXIV Olympic Winter Games are scheduled to take place from 4 to 22 February 2022,followed by the Paralympic Games from 4 to 13 March,in Beijing and towns in the neighboring Hebei Province,China.Weather plays an extremely important role in the outcome of the games(Chen et al.,2018).It can not only cause a difference between a medal or not,but affect the safety of athletes.Success of the Winter Olympics will greatly depend on weather conditions at the outdoor competition venues,dealing with many weather elements including the snow surface temperature,apparent temperature,gust wind speed,snow,visibility,etc.To ensure that the scheduled games go smoothly,it is imperative to have hourly or even every 10-minutely forecasts as well as updated weather-related risk assessments at the venues for the next 240 hours.So far,the Beijing/Hebei Meteorological Observatory has already started intelligent weather forecasting at 3-km resolution based on the results of numerical weather prediction(NWP)models.However,these experiments have suggested that the current forecasting techniques are incapable of capturing the complex mountain weather variations around some venues.The forecasting capability of NWP is constrained partly by limited knowledge of the local weather mechanisms. | Jiangjiang XIA Haochen LI Yanyan KANG Chen YU Lei JI Lve WU Xiao LOU Guangxiang ZHU Zaiwen Wang Zhongwei YAN Lizhi WANG Jiang ZHU Pingwen ZHANG Min CHEN Yingxin ZHANG Lihao GAO Jiarui HAN | 2020 | Advances in Atmospheric Sciences2020，37，9： | 6 |
| 8 | Coordinate scheduling approach for EDS observation tasks and data transmission jobs显示文摘Electromagnetic detection satellite(EDS) is a type of Earth observation satellite(EOS). Satellites observation and data down-link scheduling plays a significant role in improving the efficiency of satellite observation systems. However, the current works mainly focus on the scheduling of imaging satellites, little work focuses on the scheduling of EDSes for its specific requirements.And current works mainly schedule satellite resources and data down-link resources separately, not considering them in a globally optimal perspective. The EDSes and data down-link resources are scheduled in an integrated process and the scheduling result is searched globally. Considering the specific constraints of EDS, a coordinate scheduling model for EDS observation tasks and data transmission jobs is established and an algorithm based on the genetic algorithm is proposed. Furthermore, the convergence of our algorithm is proved. To deal with some specific constraints, a solution repairing algorithm of polynomial computing time is designed. Finally, some experiments are conducted to validate the correctness and practicability of our scheduling algorithms. | Hao Chen Jiangjiang Wu Wenyuan Shi Jun Li Zhinong Zhong | 2016 | Journal of Systems Engineering and Electronics2016，27，4： | 6 |
| 9 | Changing Spring Phenology Dates in the Three-Rivers Headwater Region of the Tibetan Plateau during 1960–2013显示文摘The variation of the vegetation growing season in the Three-Rivers Headwater Region of the Tibetan Plateau has recently become a controversial topic. One issue is that the estimated local trend in the start of the vegetation growing season(SOS)based on remote sensing data is easily affected by outliers because this data series is short. In this study, we determine that the spring minimum temperature is the most influential factor for SOS. The significant negative linear relationship between the two variables in the region is evaluated using Moderate Resolution Imaging Spectroradiometer–Normalized Difference Vegetation Index data for 2000–13. We then reconstruct the SOS time series based on the temperature data for 1960–2013.The regional mean SOS shows an advancing trend of 1.42 d(10 yr)^(-1) during 1960–2013, with the SOS occurring on the 160th and 151st days in 1960 and 2013, respectively. The advancing trend enhances to 6.04 d(10 yr)^(-1) during the past 14 years. The spatiotemporal variations of the reconstructed SOS data are similar to those deduced from remote sensing data during the past 14 years. The latter exhibit an even larger regional mean trend of SOS [7.98 d(10 yr^(-1) )] during 2000–13. The Arctic Oscillation is found to have significantly influenced the changing SOS, especially for the eastern part of the region,during 2000–13. | Shuang YU Jiangjiang XIA Zhongwei YAN Kun YANG | 2018 | Advances in Atmospheric Sciences2018，35，1： | 5 |
| 10 | A microfluidic photolithography for controlled encapsulation of single cells inside hydrogel microstructures显示文摘为单个房间的控制封装在 microchannels 内产生 hydrogel 微观结构的一条 microfluidic 途径被开发。方法基于允许的修改显微镜设计影印石版术 photopolymerization poly (乙烯乙二醇) diacrylate (PEG-DA ) 里面 microchannels。制服大小的 hydrogel 微观结构(在直径的 50 m ) 与坚定的位置一个一个地被产生没有失去生存能力,包含单个房间。兴趣的房间能被有选择地在形成的 hydrogel 微观结构内要包含的任何种可见标签识别。单个房间的大规模封装与 80% 的相对高的效率被完成,包含的房间的生存能力能被移开与 Trypan 蓝色识别的死了的房间保证。这个方法对模式简单、快、方便有为大量基于房间的应用程序的单个房间的 microchannels。为示范, carboxylesterase 的二细胞内部的酶试金被执行在包含的单个 HepG2 房间以内调查酶集中和运动信息的分发。 | JiangJiang Liu Dan Gao SiFeng Mao Jin-Ming Lin | 2012 | Science China Chemistry2012，55，4： | 4 |
| 11 | Uniform ordered mesoporous ZnCo2O4 nanospheres for super-sensitive enzyme-free H2O2 biosensing and glucose biofuel cell applications显示文摘一致、订的 mesoporous ZnCo 2 O 4(meso-ZnCo 2 O 4) nanospheres 成功地用一个牺牲的模板方法被综合。meso-ZnCo 2 O 4 nanospheres 为 H 2 O 2 biosensing 并且在葡萄糖 biofuel,房间(GBFC ) 作为酶模仿。meso-ZnCo 2 O 4 nanospheres 不仅在 H 2 O 2 传感器,完成高敏感(658.92 A ??? ? ??? 洠捩潲猭灵牥慣慰楣潴獲?? | Shiqiang Cui Li Li Yaping Ding Jiangjiang Zhang QingshengWu Zongqian Hu | 2017 | Nano Research2017，10，7： | 3 |
| 12 | Projection of the Zhujiang(Pearl) River Delta's potential submerged area due to sea level rise during the 21st century based on CMIP5 simulations显示文摘Projections of potential submerged area due to sea level rise are helpful for improving understanding of the influence of ongoing global warming on coastal areas. The Ensemble Empirical Mode Decomposition method is used to adaptively decompose the sea level time series in order to extract the secular trend component. Then the linear relationship between the global mean sea level(GMSL) change and the Zhujiang(Pearl) River Delta(PRD)sea level change is calculated: an increase of 1.0 m in the GMSL corresponds to a 1.3 m(uncertainty interval from1.25 to 1.46 m) increase in the PRD. Based on this relationship and the GMSL rise projected by the Coupled Model Intercomparison Project Phase 5 under three greenhouse gas emission scenarios(representative concentration pathways, or RCPs, from low to high emission scenarios RCP2.6, RCP4.5, and RCP8.5), the PRD sea level is calculated and projected for the period 2006–2100. By around the year 2050, the PRD sea level will rise 0.29(0.21 to 0.40) m under RCP2.6, 0.31(0.22 to 0.42) m under RCP4.5, and 0.34(0.25 to 0.46) m under RCP8.5, respectively.By 2100, it will rise 0.59(0.36 to 0.88) m, 0.71(0.47 to 1.02) m, and 1.0(0.68 to 1.41) m, respectively. In addition,considering the extreme value of relative sea level due to land subsidence(i.e., 0.20 m) and that obtained from intermonthly variability(i.e., 0.33 m), the PRD sea level will rise 1.94 m by the year 2100 under the RCP8.5scenario with the upper uncertainty level(i.e., 1.41 m). Accordingly, the potential submerged area is 8.57×103 km2 for the PRD, about 1.3 times its present area. | XIA Jiangjiang YAN Zhongwei ZHOU Wen FONG Soi Kun LEONG Ka Cheng TANG Iu Man CHANG S W LEONG W K JIN Shaofei | 2015 | Acta Oceanologica Sinica2015，34，9： | 3 |
| 13 | Influence of Chromatogram Baseline Shifts and Exogenous Metabolite Signals on Metabolic Profiles of Traditional Chinese Medicine Chaihu and Its Liver Toxicity Metabonomics显示文摘 | ZENG Qi FENG Jiangjiang LU Tian XU Liangyu MIN Chunyan XIE Hongping | 2017 | Chemical Research in Chinese Universities2017，33，1： | 2 |
| 14 | Photo-Isomerization Energy Storage Using Azobenzene and Nanoscale Templates: A Topical Review显示文摘Azobenzene(AZO) has attached tremendous attention in the field of photo-isomerization energy storage due to its advantages of absorbing light in ultraviolet-visible range and reversible isomerization. However, the issues of low energy density and short half-lifetime restrict the further development of AZO. Therefore, a method, by preparing hybrid photo-isomerization energy storage materials using nanoscale templates, was proposed to handle the above two issues. In this paper, a summary of hybrid photo-isomerization energy storage materials with AZO and nanoscale templates is conducted from the aspects of templates, preparation methods, derivatives and applications. The performances of template candidates, i.e. carbon nanotubes(CNTs) and graphene(GO) are reviewed and compared based on the analysis of grafting density, energy density, and half-lifetime of hybrid materials. Then, two major preparation methods of AZO hybrid materials including non-covalent and covalent functionalizations are discussed. Furthermore, the studies on AZO derivatives functionalized on nanoscale templates are summarized to further point to the direction of derivatization towards high performance AZO-functionalized materials. Finally, due to the superiority of AZO hybrid solid-state films in large-scale utilization, their current applications are reviewed to find out some promising applications. | LI Shuwei WANG Hongqiang FANG Juan LIU Qibin WANG Jiangjiang GUO Shaopeng | 2020 | Journal of Thermal Science2020，29，2： | 2 |
| 15 | Random(m,r)-orthogonal(g,f)-factorizable graphs显示文摘 | Yuan Jiangjiang Yu Jinqiao | 1998 | Applied Mathematics a Journal of Chinese Universities(A)1998，13，3： | 1 |
| 16 | Different structural origins for different sized surface pits observed on a-plane GaN film显示文摘A correlation study between the observed surface morphology using high-resolution scanning electron microscopy(HRSEM) and the observed structural imperfections using transmission electron microscopy(TEM) has been conducted for a-plane Ga N. There are three different sized asymmetric surface pits: large pit of 500 nm–2 ?m in side length, medium pit of 50 nm in side length, and small pit with side lengths of less than 5 nm, which originate from incomplete island coalescence, screw dislocation, and partial dislocation(PD), respectively. Both screw dislocation and PD can produce pits on the free surface because they have a perpendicular line tension to the surface, which must remain in balance with the surface tension. The two types of dislocation lead to distinctive pit sizes because the PD has a smaller Burgers vector component along the dislocation line than the pure screw dislocation. A pit that is produced in the island-coalescing process is much larger than those caused by dislocations because island coalescence is a kinetic process that involves large-scale mass transportation, whereas the dislocation mediates the surface in the local area. These three types of surface pits sometimes interact with one another in space. The coalescence of the island determines the surface morphology at large scales, whereas the defects affect the details. | GAO ZhiYuan LI JiangJiang XUE XiaoWei CUI BiFeng XING YanHui ZOU DeShu | 2016 | Science China(Technological Sciences)2016，59，1： | 1 |
| 17 | Flexible temperature sensor with high sensitivity ranging from liquid nitrogen temperature to 1200℃显示文摘Flexible temperature sensors have been extensively investigated due to their prospect of wide application in various flexible electronic products.However,most of the current flexible temperature sensors only work well in a narrow temperature range,with their application at high or low temperatures still being a big challenge.This work proposes a flexible thermocouple temperature sensor based on aerogel blanket substrate,the temperature-sensitive layer of which uses the screen-printing technology to prepare indium oxide and indium tin oxide.It has good temperature sensitivity,with the test sensitivity reaching 226.7μV℃^(−1).Most importantly,it can work in a wide temperature range,from extremely low temperatures down to liquid nitrogen temperature to high temperatures up to 1200℃,which is difficult to be achieved by other existing flexible temperature sensors.This temperature sensor has huge application potential in biomedicine,aerospace and other fields. | Zhaojun Liu Bian Tian Zhuangde Jiang Shuimin Li Jiaming Lei Zhongkai Zhang Jiangjiang Liu Peng Shi Qijing Lin | 2023 | International Journal of Extreme Manufacturing2023，5，1： | 1 |
| 18 | Duration of plastic mulch for potato growth under drip irrigation in an arid region of Northwest China显示文摘 | Hou Xiaoyan Wang Fengxin Han Jiangjiang | 2010 | Agricultural and Forest Meteorology2010，150，： | 1 |
| 19 | A pH-sensitive regenerated cellulose membrane显示文摘 | Xiong Xiaopeng Duan Jiangjiang Zou Wewei | 2010 | Journal of Membrane Science2010，363，12： | 1 |
| 20 | A fuzzy multi-criteria decision-making model for trigeneration system显示文摘 | WANG Jiangjiang JING Youyin | 2008 | En- ergy Policy2008，，10： | 1 |
您所在的机构暂未开通此部分的功能，请联系管理员