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| 1 | Factors Affecting Sensory Quality of Cooked japonica Rice显示文摘The sensory quality of cooked rice is an important factor in determining its market price, as well as consumer acceptance and breeding efforts aimed at improvement of rice grain quality. In this study,the sensory quality and physicochemical properties of three japonica rice varieties harvested in two different growing locations(Xiangshui and Hangzhou of China) were compared to determine the most important factors affecting the sensory quality. All the three varieties had higher scores for overall sensory quality in Xiangshui than in Hangzhou, indicating that the growing location is a key factor in determining the sensory quality of cooked japonica rice. In addition to growing location, variety(genotype) also had an important effect. Longdao 18 scored the highest for overall sensory quality in the two locations, whereas Longdao 30 had the lowest score in Xiangshui, and both Longdao 20 and Longdao 30 had the lowest scores in Hangzhou. Many physicochemical properties, such as apparent amylose content, protein content, thermal properties and free amino acid contents, showed significant differences between the two locations. Correlation analysis showed that apparent amylose content and protein content had contrasting effects on all the sensory attributes. The overall sensory quality was negatively correlated with protein content(r =-0.89, P < 0.01) and positively correlated with gel hardness(r = 0.91, P < 0.01),indicating that the protein content and hardness are important physicochemical properties for predicting the sensory quality of japonica rice. These findings will provide guidance for selection from the diverse genotypes available to develop new varieties with the desired eating and cooking quality. | XU Yanjie YING Yining OUYANG Shuhong DUAN Xiaoliang SUN Hui JIANG Shukun SUN Shichen BAO Jinsong | 2018 | Rice science2018，25，6： | 23 |
| 2 | Disease profile and plasma neutralizing activity of postvaccination Omicron BA.1 infection in Tianjin,China:a retrospective study显示文摘Dear Editor,SARS-CoV-2 Omicron variant BA.1 first emerged on the Chinese mainland on January 8,2022,in Tianjin and caused a large wave of infections.1 Four rounds of mass testing of its~14 million residents were launched on January 9,12,15,and 20,respectively.As of February 7,2022,a total of 430 individuals were tested positive for Omicron BA.1,with no new infections detected for the following 16 days.In the Chinese mainland,the most delivered vaccines are inactivated vaccines.As of January 8,2022,up to 93.2%of Tianjin’s residents had been vaccinated with at least one dose.2 We investigated the protection conferred by vaccination against Omicron BA.1 by examining the breakthrough infections among vaccinees as compared with unvaccinated cases.Our study population comprised all 430 cases during the outbreak of Omicron BA.1 in Tianjin. | Hong Zheng Yunlong Cao Xiaosu Chen Fengmei Wang Ye Hu Weiliang Song Yangyang Chai Qingqing Gu Yansong Shi Yingmei Feng Shuxun Liu Yan Xie Xiaoliang Sunney Xie Wentao Jiang Zhongyang Shen | 2022 | Cell Research2022，32，8： | 12 |
| 3 | Potassium 2-(1-hydroxypentyl)-benzoate attenuates neuronal apoptosis in neuron–astrocyte co-culture system through neurotrophy and neuroinflammation pathway显示文摘Potassium 2-(1-hydroxypentyl)-benzoate(D,L-PHPB), a new drug candidate for ischemic stroke at the phase II clinic trial, has been shown to protect neurons by inhibiting oxidative injury and reducing neuron apoptosis in previous studies. But the mechanisms of D,L-PHPB remain to be studied.In this study, a neuron–astrocytes co-culture system was used to elucidate the roles of astrocytes in neuroprotection of D,L-PHPB under oxygen-glucose deprivation/reoxygenation(OGD/R) condition. Our data showed that D,L-PHPB reduced neuronal apoptosis in mono-culture system and this effect was enhanced in neuron–astrocyte co-culture system under the OGD/R condition. Meanwhile, D,L-PHPB obviously increased the levels of brain-derived neurotrophic factor(BDNF) and nerve growth factor(NGF), which were mainly secreted from astrocytes, in the co-culture system after OGD/R. The PI3K/AKT and ERK signaling pathways as well as the p-TRKA/B receptors were involved in the process. In addition, the levels of TNF-α and IL-1β secreted from astrocytes after OGD/R were markedly reduced after D,L-PHPB treatment, which was mainly due to the suppression of phosphorylated p38. In conclusion, the present study demonstrates that the neuroprotective effects of D,L-PHPB were improved by astrocytes, mainly mediated by increasing the release of BDNF/NGF and attenuating inflammatory cytokines. | Dongmei Liu Man Zhang Xianfang Rong Jiang Li Xiaoliang Wang | 2017 | Acta Pharmaceutica Sinica B2017，7，5： | 8 |
| 4 | Regional tectonic deformation setting before the Ms8.1 earthquake in the west of the Kunlun Mountains Pass显示文摘This paper gives a preliminarily study of the regional tectonic deformation setting before the Ms8.1 earthquake that occurred in the west of the Kunlun Mountains Pass; in the study, the data of the velocity field of crustal horizontal movement during 1991-2000 observed by GPS in and around the Qinghai-Tibet block and those of gravity reiteration in 1998 and 2000 were used. Analysis shows that the preparation and occurrence of this large earthquake are related to the horizontal movement and deformation setting in a large region and might be attributed to the block activity on a relatively large scale. Within the Qinghai-Tibet block, the region of left-lateral shear deformation is of a very large extent. This large earthquake occurred right in such a place where the left-lateral shear strain along the fault strike had the highest rate and the planar dilatation strain was tensile, which was on the margin of negative value region of abnormal gravity variation. The regional tectonic deformation setting can help the huge left-lateral strike-slip rupture to develop. | JIANG Zaisen (江在森) ZHANG Xi (张 希) ZHU Yiqing (祝意青) ZHANG Xiaoliang (张晓亮) WANG Shuangxu (王双绪) | 2003 | Science China Earth Sciences2003，46，z2： | 6 |
| 5 | Discrimination for ablative control mechanism in solid-propellant rocket nozzle显示文摘The ablation in solid-propellant rocket nozzle is a coupling process resulted by chemistry, heat and mass transfer. Based on the heat and mass transfer theory, the aero-thermo-dynamic, and thermo-chemical kinetics, the thermal-chemical ablation model is established. Simulations are completed on the heat flow field and chemical ablation in the nozzle with different concentrations, frequency factors and activation energy of H2. The calculation results show that the concentration and the activation energy of H2 can provoke the transformation of control mechanism, whereas the influence brought by the frequency factor of H2 is feeble under a high-temperature and high-pressure combustion circumstance. The discrimination for ablative control mechanism is dependent on both concentration and activation energy of H2. This study will be useful in handling ablation and thermal protection problem in the design of solid-propellant rocket. | HUANG HaiMing XU XiaoLiang JIANG GuiQing | 2009 | Science China(Technological Sciences)2009，52，10： | 6 |
| 6 | Evolutionary Dynamics Modeling of Symbolic Social Network Structure Equilibrium显示文摘The use of symbol attributes on the side of symbolic social networks to analyze,understand,and predict the topology,function,and dynamic behaviour of complex networks,and has important theoretical significance for personalized recommendations,attitude prediction,user feature analysis,and clustering and application value.However,due to the huge scale of online social networks,this poses a challenge to traditional symbolic social network analysis methods.Based on the theory of structural equilibrium,this paper studies the evolutionary dynamics of symbolic social networks,proposes the energy function of weak structural equilibrium theory,and uses the evolution of evolutionary algorithms to obtain the weak imbalance of the network.The simulation experiment results show that the calculation method in this paper can get the optimal solution faster.It provides an idea for the study of real and complex social networks. | Weijin Jiang Sijian Lv Yirong Jiang Jiahui Chen Fang Ye Xiaoliang Liu | 2020 | China Communications2020，17，10： | 4 |
| 7 | Circadian locomotor output cycles kaput accelerates atherosclerotic plaque formation by upregulating plasminogen activator inhibitor-1 expression显示文摘 | Qixia Jiang Hua Liu Shengyun Wang Jiamei Wang Yehua Tang Zhiqing He Feng Wu Zhigang Huang Xiaoliang Cong Ru Ding Chun Liang | 2018 | Acta Biochimica et Biophysica Sinica2018，50，9： | 3 |
| 8 | Mapping of the nuclear localization signals in open reading frame 2 protein from porcine circovirus type 1显示文摘(PCV1 ) 猪的 circovirus 类型 1 包含编码联系复制的蛋白质和主要结构的衣壳(帽子) 蛋白质的二个主要开的读物框架。PCV1 帽子有 N 终点带几个潜在的单音的深裂或由两部组成的原子本地化信号(NLS ) 。到原子进口的这些部分重叠的主题的贡献被熔化到提高的绿荧光灯的蛋白质(EGFP ) 的变异的 PCV1 帽子版本的表示识别。C 终点截断了 PCV1 Cap-EGFP 而 N 终点的截断使熔化蛋白质变为分布式进细胞质,在类似于野类型的 PCV1 Cap-EGFP 的 PK-15 房间的原子核是局部性的,显示 PCV1 的原子进口盖住被它的 N 终端区域高效地调停。在段 9RR-RR12 或 25RRPYLAHPAFRNRYRWRRK43 的正确部分的基本残余的替换在原子核和细胞质导致了熔化蛋白质的传播分布,显示二 NLS 负责 PCV1 帽子的限制原子指向。 | Jiangbing Shuai Wei Wei Lingli Jiang Xiaoliang Li Ning Chen Weihuan Fang | 2008 | Acta Biochimica et Biophysica Sinica2008，40，1： | 3 |
| 9 | An Early Warning System for Curved Road Based on OV7670 Image Acquisition and STM32显示文摘Nowadays,the number of vehicles in China has increased significantly.The increase of the number of vehicles has also led to the increasingly complex traffic situation and the urgent safety measures in need.However,the existing early warning devices such as geomagnetic,ultrasonic and infrared detection have some shortcomings like difficult installation and maintenance.In addition,geomagnetic detection will damage the road surface,while ultrasonic and infrared detection will be greatly affected by the environment.Considering the shortcomings of the existing solutions,this paper puts forward a solution of early warning for vehicle turning meeting based on image acquisition and microcontrollers.This solution combines image acquisition and processing technology,which uses image sensor to perceive traffic condition and image data analysis algorithm to process perceived image,and then utilize LED display screen to issue an early warning. | Xiaoliang Wang Wenhua Song Bowei Zhang Brandon Mausler Frank Jiang | 2019 | Computers, Materials & Continua2019，，4： | 2 |
| 10 | Image recognition and empirical application of desert plant species based on convolutional neural network显示文摘In recent years,deep convolution neural network has exhibited excellent performance in computer vision and has a far-reaching impact.Traditional plant taxonomic identification requires high expertise,which is time-consuming.Most nature reserves have problems such as incomplete species surveys,inaccurate taxonomic identification,and untimely updating of status data.Simple and accurate recognition of plant images can be achieved by applying convolutional neural network technology to explore the best network model.Taking 24 typical desert plant species that are widely distributed in the nature reserves in Xinjiang Uygur Autonomous Region of China as the research objects,this study established an image database and select the optimal network model for the image recognition of desert plant species to provide decision support for fine management in the nature reserves in Xinjiang,such as species investigation and monitoring,by using deep learning.Since desert plant species were not included in the public dataset,the images used in this study were mainly obtained through field shooting and downloaded from the Plant Photo Bank of China(PPBC).After the sorting process and statistical analysis,a total of 2331 plant images were finally collected(2071 images from field collection and 260 images from the PPBC),including 24 plant species belonging to 14 families and 22 genera.A large number of numerical experiments were also carried out to compare a series of 37 convolutional neural network models with good performance,from different perspectives,to find the optimal network model that is most suitable for the image recognition of desert plant species in Xinjiang.The results revealed 24 models with a recognition Accuracy,of greater than 70.000%.Among which,Residual Network X_8GF(RegNetX_8GF)performs the best,with Accuracy,Precision,Recall,and F1(which refers to the harmonic mean of the Precision and Recall values)values of 78.33%,77.65%,69.55%,and 71.26%,respectively.Considering the demand factors of hardware equipment and inference time,Mobile NetworkV2 achieves the best balance among the Accuracy,the number of parameters and the number of floating-point operations.The number of parameters for Mobile Network V2(MobileNetV2)is 1/16 of RegNetX_8GF,and the number of floating-point operations is 1/24.Our findings can facilitate efficient decision-making for the management of species survey,cataloging,inspection,and monitoring in the nature reserves in Xinjiang,providing a scientific basis for the protection and utilization of natural plant resources. | LI Jicai SUN Shiding JIANG Haoran TIAN Yingjie XU Xiaoliang | 2022 | Journal of Arid Land2022，14，12： | 2 |
| 11 | The evaluation of moments for benzenoid hydrocarbons显示文摘 | Yuansheng Jiang Xiaoliang Qian Yihan Shao | 1995 | Theoretica Chimica Acta (-)1995，，2： | 1 |
| 12 | Safety Risk Analysis of Large⁃scale Complex Project based on WBS⁃RBS and Interval Numbers显示文摘Safety risks are essential to the success or failure of the large⁃scale complex projects.In order to assess and evaluate the safety risks of the large⁃scale complex projects scientifically,a risk assessment method of work breakdown structure and risk breakdown structure(WBS⁃RBS)is proposed to identify the project risks.In this paper,interval numbers are used to evaluate the risk levels,weights are assigned automatically based on the complexity and risk degree of WBS to distinguish three types of nodes in WBS,and a risk assessment algorithm is designed to assess safety risk at all layers of the project.A case study is conducted to demonstrate how to apply the method.The results show the practicality,robustness and efficiency of our new method,which can be applied to different kinds of large⁃scale complex projects in reality. | JIANG Weiyang HE Xiaoliang DU Hejia | 2022 | International Journal of Plant Engineering and Management2022，27，3： | 1 |
| 13 | Research on Stack-allocation Based JVM Garbage Collection显示文摘 | Xu Xiaoliang Shen Jiang | 2009 | International Conference on Advance Computer Theory and Engineering2009，25，13： | 1 |
| 14 | Efficient designs of optical LIFO buffer with switches and fiber delay lines显示文摘 | Wang Xiaoliang Jiang Xiaohong Achille Pattavina | 2011 | IEEE Transactions on Communications2011，59，12： | 1 |
| 15 | Improving Language Translation Using the Hidden Markov Model显示文摘Translation software has become an important tool for communication between different languages.People’s requirements for translation are higher and higher,mainly reflected in people’s desire for barrier free cultural exchange.With a large corpus,the performance of statistical machine translation based on words and phrases is limited due to the small size of modeling units.Previous statistical methods rely primarily on the size of corpus and number of its statistical results to avoid ambiguity in translation,ignoring context.To support the ongoing improvement of translation methods built upon deep learning,we propose a translation algorithm based on the Hidden Markov Model to improve the use of context in the process of translation.During translation,our Hidden Markov Model prediction chain selects a number of phrases with the highest result probability to form a sentence.The collection of all of the generated sentences forms a topic sequence.Using probabilities and article sequences determined from the training set,our method again applies the Hidden Markov Model to form the final translation to improve the context relevance in the process of translation.This algorithm improves the accuracy of translation,avoids the combination of invalid words,and enhances the readability and meaning of the resulting translation. | Yunpeng Chang Xiaoliang Wang Meihua Xue Yuzhen Liu Frank Jiang | 2021 | Computers, Materials & Continua2021，，6： | 1 |
| 16 | Image Super-Resolution Based on Generative Adversarial Networks: A Brief Review显示文摘Single image super resolution(SISR)is an important research content in the field of computer vision and image processing.With the rapid development of deep neural networks,different image super-resolution models have emerged.Compared to some traditional SISR methods,deep learning-based methods can complete the super-resolution tasks through a single image.In addition,compared with the SISR methods using traditional convolutional neural networks,SISR based on generative adversarial networks(GAN)has achieved the most advanced visual performance.In this review,we first explore the challenges faced by SISR and introduce some common datasets and evaluation metrics.Then,we review the improved network structures and loss functions of GAN-based perceptual SISR.Subsequently,the advantages and disadvantages of different networks are analyzed by multiple comparative experiments.Finally,we summarize the paper and look forward to the future development trends of GAN-based perceptual SISR. | Kui Fu Jiansheng Peng Hanxiao Zhang Xiaoliang Wang Frank Jiang | 2020 | Computers, Materials & Continua2020，，9： | 1 |
| 17 | Efficient designs of optical LIFO buffer with switches and fiber delay lines显示文摘 | Wang Xiaoliang Jiang Xiaohong Pattavina A | 2011 | IEEE Trans on Communications2011，59，12： | 1 |
| 18 | Constructing N-to-N shared optical queues with switches and fiber delay lines显示文摘 | Wang Xiaoliang Jiang Xiaohong Pattavina A | 2012 | IEEE Trans on Communications2012，58，6： | 1 |
| 19 | Synthesis and photochemical properties of novel 4-diarylamine-1,8-naphthalimide derivatives显示文摘 | Wei Jiang Yueming Sun Xiaoliang Wang Qi Wang Wenlian Xu | 2007 | Dyes and Pigments2007，，1： | 1 |
| 20 | The application of chromium substituted magnetite as heterogeneous Fenton catalyst for the degradation of aqueous cationic and anionic dyes显示文摘 | Xiaoliang Liang Yuanhong Zhong Hongping He Peng Yuan Jianxi Zhu Sanyuan Zhu Zheng Jiang | 2012 | Chemical Engineering Journal2012，，： | 1 |
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