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| 1 | A statistical analysis of the freshness of postharvest leafy vegetables with application of water based on chlorophyll fluorescence measurement显示文摘Vegetable freshness is very important for both restaurant and home consumers.In market,sellers frequently apply water to leafy vegetables to make them not lose weight and look fresh;however,these vegetables may not be stored for a long time as they appear.After a time limit,they may be quickly rotten.It is thus meaningful to investigate early and simple detection tools to measure leafy vegetable freshness while they are frequently applied water in selling.In this work,three types of newly harvested leafy vegetables were bought from a local farmer market and stored in the air with room temperature and roots submerging in water.Chlorophyll a fluorescence(ChlF)from the vegetables was measured each half a day for three days.The obtained ChlF data were analyzed statistically and the correlation of ChlF parameters and vegetable freshness/storage time was obtained.The k-mean classification was also performed.It is found that Fo,Fj,Fm/Fo,and Fv/Fm can be used as an early detection tool to differentiate the freshness of leafy vegetables on which water is constantly applied in storage without visible difference. | Yichen Qiu Yuhang Zhao Juan Liu Ya Guo | 2017 | Information Processing in Agriculture2017，4，4： | 2 |
| 2 | What leads to readers' satisfaction with the mobile news apps service? An investigation into the roles of content originality and user experience显示文摘Purpose: This study aims to explore whether content originality and user experience have positive effects on online news readers' satisfaction with the mobile apps service.Design/methodology/approach: Data was collected via a Web-based survey. Data analysis of this study can be divided into two stages. In the first stage, a descriptive statistical analysis was conducted based on a sample of 612 respondents. In the second stage, the correlation among content originality, user experience and satisfaction was analyzed based on a sample of 377 mobile news apps users. Findings: Results of the first stage showed that social media and mobile news apps were the most important tools for users to access news, and different types of media were playing complementary roles in information transmission. Users held a positive attitude toward their mobile news reading experience and they described news they read on mobile apps with such words as 'interesting', 'instant', 'positive', 'profound', and 'ironic'. Results of the second stage confirmed our hypothesis that content originality and user experience both had positive impacts on user satisfaction.Research limitations: The questionnaires were distributed entirely online, so the sample may not be representative of the general population being studied and thus undermine the reliability and generalization of the findings to some extent. Moreover, this study adopted only one method(survey) and more methods such as interviews can be used to improve the accuracy of the results.Practical implications: The findings of this study can not only provide insights into a better understanding of users' mobile reading behavior, but also help mobile information service providers attract more users.Originality/value: This is one of the first studies to explore the effects of content originality and user experience on online news readers' satisfaction with the mobile apps service. | Wenjing HE Xiaoyu CHEN Yichen LI Yueyi QIU | 2015 | Chinese Journal of Library and Information Science2015，，3： | 1 |
| 3 | Photonic integrated neuro-synaptic core for convolutional spiking neural network显示文摘Neuromorphic photonic computing has emerged as a competitive computing paradigm to overcome the bottlenecks of the von-Neumann architecture.Linear weighting and nonlinear spike activation are two fundamental functions of a photonic spiking neural network(PSNN).However,they are separately implemented with different photonic materials and devices,hindering the large-scale integration of PSNN.Here,we propose,fabricate and experimentally demonstrate a photonic neuro-synaptic chip enabling the simultaneous implementation of linear weighting and nonlinear spike activation based on a distributed feedback(DFB)laser with a saturable absorber(DFB-SA).A prototypical system is experimentally constructed to demonstrate the parallel weighted function and nonlinear spike activation.Furthermore,a fourchannel DFB-SA laser array is fabricated for realizing matrix convolution of a spiking convolutional neural network,achieving a recognition accuracy of 87%for the MNIST dataset.The fabricated neuro-synaptic chip offers a fundamental building block to construct the large-scale integrated PSNN chip. | Shuiying Xiang Yuechun Shi Yahui Zhang Xingxing Guo Ling Zheng Yanan Han Yuna Zhang Ziwei Song Dianzhuang Zheng Tao Zhang Hailing Wang Xiaojun Zhu Xiangfei Chen Min Qiu Yichen Shen Wanhua Zheng Yue Hao | 2023 | Opto-Electronic Advances2023，6，11： | 1 |
| 4 | Deep Active Learning for Solvability Prediction in Power Systems显示文摘Traditional methods for solvability region analysis can only have inner approximations with inconclusive conservatism and handle limited types of power flow models.In this letter,we propose a deep active learning framework for solvability prediction in power systems.Compared with passive learning where the training is performed after all instances are labeled,active learning selects most informative instances to be labeled and therefore significantly reduces the size of the labeled dataset for training.In the active learning framework,the acquisition functions,which correspond to different sampling strategies,are defined in terms of the on-the-fly posterior probability from the classifier.First,the IEEE 39-bus system is employed to validate the proposed framework,where a two-dimensional case is illustrated to visualize the effectiveness of the sampling method followed by the high-dimensional numerical experiments.Then,the Northeast Power Coordinating Council(NPCC)140-bus system is used to validate the performance on large-scale power systems. | Yichen Zhang Jianzhe Liu Feng Qiu Tianqi Hong Rui Yao | 2022 | Journal of Modern Power Systems and Clean Energy2022，10，6： | 0 |
| 5 | Three-Dimensional M-Shaped Resection for Nasal Alar Hypertrophy in Asian Patients显示文摘Background Nasal alarplasty is an important component of esthetic rhinoplasty in Asians.The two main surgical techniques that correct alar hypertrophy by reducing the height or length often leave external scars and are associated with a high relapse rate.Methods We developed a new technique,called three-dimensional(3D)M-shaped resection,which corrects both the nasal alar height and length and simultaneously minimizes external scarring.We performed this procedure from January 2013 to September 2016 in 49 consecutive female patients diagnosed with saddle nose and nasal alar hypertrophy.Their mean age was 28.6(range,18–40)years.All patients had previously undergone simple rhinoplasty.Nasal alar length and height,nostril length and width,and maximal nose width were analyzed preoperatively and postoperatively from photographs.Results After a mean of 9(range,3–24)months of follow-up,surgery was considered successful in 46 women(94%)with good cosmetic effects.In three patients,nasal alar hypertrophy recurred(6 months postoperatively).There were no early complications such as hematomas,infections,skin or mucosal necrosis,or wound dehiscence.The mean reductions postoperatively were 1.7 mm and 0.9 mm for nasal alar length and height,respectively,1.6 mm for both nostril length and width,and 3.5 mm for nose width.Conclusion The 3D M-shaped resection for nasal alar hypertrophy effectively reduced hypertrophy in 94%of patients for up to 24 months,producing minimal external scars and good cosmetic effects.It is a simple and convenient technique that is an effective and safe option for nasal alarplasty. | Yiqing QIU Qingfang ZHAO Zhixiong CHEN Yichen SHEN Mengmeng LUO Qiaoyun QIU Jinghong XU | 2021 | Chinese Journal Of Plastic and Reconstructive Surgery2021，3，1： | 0 |
| 6 | Molecular ferroelectric/semiconductor interfacial memristors for artificial synapses显示文摘With the burgeoning developments in artificial intelligence,hardware implementation of artificial neural network is also gaining pace.In this pursuit,ferroelectric devices(i.e.,tunneling junctions and transistors)with voltage thresholds were recently proposed as suitable candidates.However,their development is hindered by the inherent integration issues of inorganic ferroelectrics,as well as poor properties of conventional organic ferroelectrics.In contrast to the conventional ferroelectric synapses,here we demonstrated a two-terminal ferroelectric synaptic device using a molecular ferroelectric(MF)/semiconductor interface.The interfacial resistance can be tuned via the polarization-controlled blocking effect of the semiconductor,owing to the high ferroelectricity and field amplification effect of the MF.Typical synaptic features including spike timing-dependent plasticity are substantiated.The introduction of the semiconductor also enables the attributes of optoelectronic synapse and in-sensor computing with high image recognition accuracies.Such interfaces may pave the way for the hardware implementation of multifunctional neuromorphic devices. | Yichen Cai Jialong Zhang Mengge Yan Yizhou Jiang Husnain Jawad Bobo Tian Wenchong Wang Yiqiang Zhan Yajie Qin Shisheng Xiong Chunxiao Cong Zhi-Jun Qiu Chungang Duan Ran Liu Laigui Hu | 2022 | npj Flexible Electronics2022，6，1： | 0 |
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