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Transcriptome analysis of unsaturated fatty acids biosynthesis shows essential genes in sprouting of Acer truncatum Bunge seeds

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Food Bioscience 2021年 41卷

作者： Chen, Dong-Ju Luo, Xue-Gang Yan, Li-Hua Si, Chuan-Ling Wang, Nan He, Hong-Peng Zhang, Tong-Cun Key Lab of Industrial Fermentation Microbiology of the Ministry of Education Tianjin Key Lab of Industrial Microbiology College of Biotechnology Tianjin University of Science and Technology Tianjin 300457 China Tianjin Engineering Research Center of Microbial Metabolism and Fermentation Process Control Tianjin 300457 China Tianjin Key Laboratory of Pulp & Paper Tianjin University of Science & Technology Tianjin 300457 China

The seeds of Acer truncatum Bunge (ATB) are rich in unsaturated fatty acids (UFA), especially nervonic acid, an important nutrient for the growth and maintenance of the brain. Therefore, the oil of ATB seeds has been approved as a New Resource Food in China. In the present study, changes of transcriptomic profiling and contents of UFA during the sprouting of ATB seeds were analyzed. The results of RNA-seq-based transcriptome analysis showed that the transcription of genes in various metabolic pathways, including the biosynthesis pathway of UFA, were significantly altered during seed sprouting. The gas chromatography-mass spectrometry assay consistently showed that the content of palmitoleic acid, palmitic acid, stearic acid, gondoic acid, arachidic acid, behenic acid, nervonic acid and lignoceric acid increased 77.9, 20.9, 39.6, 26.3, 95.6, 80.0, 41.7 and 141%, respectively, while the content of oleic acid decreased 49.2%, after sprouting. The whole coding sequence regions of genes involved in the UFA biosynthesis were cloned and sequenced, and the alignment analysis predicted that omega-6 fatty acid desaturase and short-chain type dehydrogenase/reductase might have important roles in the biosynthesis of UFA during the sprouting. The results suggested that nervonic acid could be enriched in ATB seeds via sprouting-stimulation, which had not been previously observed. © 2020

关键词： Acer truncatum Bunge Bioinformatics analysis Cloning Transcriptome sequencing Unsaturated fatty acids Yuanbao maple

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Prediction of tariff package model using ROF-LGB algorithm 2019

Prediction of tariff package model using ROF-LGB algorithm

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2nd International Conference on Data Science and Information Technology, DSIT 2019

作者： Zheng, Nai Song Jiang, Xiao Wei Ao, Yibo Zhao, Xi School of Mathematics and Statistics Xi'an Jiaotong University Xi'an710049 China School of Electronic and Information Engineering Xi'an Jiaotong University Xi'an710049 China School of Management Xi'an Jiaotong University Xi'an710049 China Key Lab of the Ministry of Education for Process Control and Efficiency Engineering Xi'an710049 China

ISBN: (纸本)9781450371414

With the slowing growth of the telecommunication market and the intense competition for existing customers, Customer Churn Management has become a crucial task for all mobile network operators. Recommendation models based on customer behaviors are widely used by operators to provide diverse telecom tariff packages for suitable people and thus improve customer satisfaction. To address the low precision rate and data granularity of prior studies, this study combined rotation forest (ROF) and LightGBM and construct a hybrid algorithm (ROF-LGB). Grid search method was used in parameter tuning, and ten-fold cross-validation method was used to prevent overfitting. Using mobile data generated by operators, ROF-LGB method was tested and compared with other five traditional machine learning methods. The results showed that ROF-LGB method achieved better performance with better precision rate and execution efficiency in telecom tariff package recommendation. © 2019 Association for Computing Machinery.

关键词： Customer satisfaction

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A cost-effective data replica placement strategy based on hybrid genetic algorithm for cloud services 12th

A cost-effective data replica placement strategy based on hy...

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12th IFIP WG 8.9 Working Conference on Research and Practical Issues of Enterprise Information Systems, CONFENIS 2018 Held at the 24th IFIP World Computer Congress, WCC 2018

作者： Huang, Xin Wu, Feng School of Management The Key Lab of the Ministry of Education for Process Control and Efficiency Engineering Xi’an Jiaotong University Xi’an710049 China

ISBN: (纸本)9783319990392

Cloud computing provide an efficient big data processing platform for many small and medium scale enterprises, how to replicate and allocate data in clouds is a critical problem influencing cost consumption for small and medium scale enterprises. Cloud data management systems mainly serve two kinds of workloads, one is read-intensive analytical workloads (e.g. OLAP), the other is write-intensive transactional workloads (e.g. OLTP). It is essential to minimize data management costs like storage, communication bandwidth, update and power with guaranteeing the service level agreements. Toward two workloads, a cost-effective data replica placement approach for minimizing data management costs on cloud computing centers is proposed. The definition of different data management costs is identified first, then we construct the cost optimization model of the data replica placement problem. The paper proposes a hybrid genetic algorithm and a data support-based initialization method that addresses the problem. Experiments show that the approach result in significant reduction in total data management cost and the algorithm is with good performance. © IFIP International Federation for Information processing 2018.

关键词： Information management

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Exploring the prediction of variety-seeking behavior 2019

Exploring the prediction of variety-seeking behavior

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2nd International Conference on Data Science and Information Technology, DSIT 2019

作者： Li, Jiazhao Zhao, Jiuxia Mao, Minjia Zhao, Xi Zou, Jianhua School of Electronic and Information Engineering Xi'an Jiaotong University Xi'an710049 China School of Mathematics and Statistics Xi'an Jiaotong University Xi'an710049 China School of Management Xi'an Jiaotong University Xi'an ShaanXi China Key Lab of the Ministry of Education for Process Control and Efficiency Egineering Xi'an710049 China

ISBN: (纸本)9781450371414

As a common choice strategy for consumers, variety-seeking has a direct impact on the business performance of enterprises, and has been studied for decades in management science and marketing research. Existing research tends to find factors which influence variety-seeking by means of questionnaires and laboratory experiments. Based on the important factors, marketers develop marketing plans which are tailored to consumers. However, due to personal motivation, the results of questionnaires and laboratory experiments may not fully reflect internal states of participants. Thus, we propose a data-driven framework, using ensemble learning for predicting variety-seeking behavior based on real student consumption data. Experiments demonstrate that our model outperforms separate machine learning algorithms and can effectively predict variety-seeking behavior. We further analyze the contribution of each feature towards the prediction, achieving some useful conclusions for the study of variety-seeking intervention mechanism. © 2019 Association for Computing Machinery.

关键词： Forecasting

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Evacuation control of Crowds of Pedestrians: Distributed or Decentralized? ⁎

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IFAC-PapersOnLine 2020年第5期53卷 318-323页

作者： Kecai Cao YangQuan Chen Chenglin Liu Nanjing Institute of Technology Nanjing 211167 China Mechatronics Embedded Systems and Automation Lab School of Engineering University of California Merced CA USA 95343 Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Institute of Automation Jiangnan University Wuxi 214122 China

Evacuation of crowds in a corridor with only one exit has been considered in this paper where distributed controllers have been constructed to regulate the crowd’s evacuation speed so that stampede tragedy can be avoided. Macroscopic model for crowds of pedestrians has been firstly derived based on inspiration of LWR (Lighthill-Whitham and Richards) model and Greenshields model from traffic system where finite volume method has been introduced to simplify the obtained PDEs into finite ODEs. Distributed evacuation controllers have been constructed based on inspiration of multi-agent system and stability analysis of obtained closed-loop system has been simplified to linear system with the delicate controllers proposed. Comparisons between distributed evacuation controllers and previous evacuation controllers have also been presented to show the advantages and disadvantages of different controllers under different initial density of crowds so that tragedy of crowd stampede can be effectively avoided with appropriate selection of different controllers.

关键词： Distributed evacuation controller Decentralized evacuation controller Stampede

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Diosgenin alleviates neuropathic pain based on the enhancement of autophagy and promotion of M2 polarization

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International immunopharmacology 2025年 159卷 114936页

作者： Shuli Man Yaxue Zhou Xinghao Zhang Xiaoqin Tang Lu Xie Long Ma Wenyuan Gao State Key Laboratory of Food Nutrition and Safety Key Laboratory of Industrial Microbiology Ministry of Education Tianjin Key Laboratory of Industry Microbiology National and Local United Engineering Lab of Metabolic Control Fermentation Technology China International Science and Technology Cooperation Base of Food Nutrition/Safety and Medicinal Chemistry College of Biotechnology Tianjin University of Science & Technology Tianjin 300457 China. Electronic address: msl@***. State Key Laboratory of Food Nutrition and Safety Key Laboratory of Industrial Microbiology Ministry of Education Tianjin Key Laboratory of Industry Microbiology National and Local United Engineering Lab of Metabolic Control Fermentation Technology China International Science and Technology Cooperation Base of Food Nutrition/Safety and Medicinal Chemistry College of Biotechnology Tianjin University of Science & Technology Tianjin 300457 China. Tianjin Key Laboratory for Modern Drug Delivery and High Efficiency School of Pharmaceutical Science and Technology Faculty of Medicine Tianjin University Tianjin 300072 China. Electronic address: biochemgao@***.

Neuropathic pain has serious impacts on the quality of people's life. Diosgenin extracted from yams has shown significant potential in the treatment of nervous system diseases. To investigate the potential mechanism of diosgenin fighting against neuropathic pain, we established a chronic compression injury (CCI) model. The pain-related behaviors were determined by Von Frey, hot plate, and sciatic nerve index test. As a result, diosgenin significantly lowered the pain threshold, improved the sciatic nerve index, and decreased the damage of sciatic nerve structure in CCI model mice. It increased the protein levels of LC3-II and Beclin-1, the number of the lysosomes, decreased the protein level of P62 and the number of the autophagosomes, and therefore activated autophagy. Diosgenin also inhibited the proliferation of microglia cells and the translocation of NF-κB p65, while promoting promoted M2 polarization of microglia cells. Autophagy inhibitor like chloroquine inhibited the M2 polarization of microglia cells, and reversed the therapeutic effect of diosgenin. All in all, diosgenin alleviated neuropathic pain in CCI mice based on the enhancement of autophagy and the promotion of M2 polarization.

关键词： Autophagy Diosgenin Microglia Neuropathic pain

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Prediction of Tariff Package Model Using ROF-LGB Algorithm

Prediction of Tariff Package Model Using ROF-LGB Algorithm

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作者： NaiSong Zheng XiaoWei Jiang Yibo Ao Xi Zhao School of Mathematics and Statistics Xi'an Jiaotong University School of Electronic and Information Engineering Xi'an Jiaotong University School of Management Xi'an Jiaotong University The Key Lab of the Ministry of Education for process control & Efficiency Engineering

With the slowing growth of the telecommunication market and the intense competition for existing customers, Customer Churn Management has become a crucial task for all mobile network operators. Recommendation models based on customer behaviors are widely used by operators to provide diverse telecom tariff packages for suitable people and thus improve customer satisfaction. To address the low precision rate and data granularity of prior studies, this study combined rotation forest(ROF) and LightGBM and construct a hybrid algorithm(ROF-LGB). Grid search method was used in parameter tuning, and ten-fold crossvalidation method was used to prevent overfitting. Using mobile data generated by operators, ROF-LGB method was tested and compared with other five traditional machine learning *** results showed that ROF-LGB method achieved better performance with better precision rate and execution efficiency in telecom tariff package recommendation.

关键词： Tariff Package Prediction ROF-LGB LightGBM

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Exploring the Prediction of Variety-seeking Behavior

Exploring the Prediction of Variety-seeking Behavior

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作者： Jiazhao Li Jiuxia Zhao Minjia Mao Xi Zhao Jianhua Zou School of Electronic and Information Engineering Xi'an Jiaotong University School of Mathematics and Statistics Xi'an Jiaotong University School of Management Xi'an Jiaotong University Xi'an ShaanXi China The Key Lab of the Ministry of Education for process control & Efficiency Egineering

As a common choice strategy for consumers, variety-seeking has a direct impact on the business performance of enterprises, and has been studied for decades in management science and marketing research. Existing research tends to find factors which influence variety-seeking by means of questionnaires and laboratory experiments. Based on the important factors, marketers develop marketing plans which are tailored to consumers. However, due to personal motivation, the results of questionnaires and laboratory experiments may not fully reflect internal states of ***, we propose a data-driven framework, using ensemble learning for predicting variety-seeking behavior based on real student consumption data. Experiments demonstrate that our model outperforms separate machine learning algorithms and can effectively predict variety-seeking behavior. We further analyze the contribution of each feature towards the prediction, achieving some useful conclusions for the study of variety-seeking intervention mechanism.

关键词： Variety-seeking Prediction Ensemble Learning

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arXiv

引用

arXiv 2019年

作者： Shen, Zhihao Du, Wan Zhao, Xi Zou, Jianhua School of Electronic and Information Engineering Xi'an Jiaotong University Shaanxi Engineering Research Center of Medical and Health Big Data Xi'an710049 China Department of Computer Science and Engineering University of California MercedCA95340 United States School of Management Xi'an Jiaotong University Key Lab of the Ministry of Education for Process Control & Efficiency Egineering Xi'an710049 China

Retrieving similar trajectories from a large trajectory dataset is important for a variety of applications, like transportation planning and mobility analysis. Unlike previous works based on fine-grained GPS trajectories, this paper investigates the feasibility of identifying similar trajectories from cellular data observed by mobile infrastructure, which provide more comprehensive coverage. To handle the large localization errors and low sample rates of cellular data, we develop a holistic system, cellSim, which seamlessly integrates map matching and similar trajectory search. A set of map matching techniques are proposed to transform cell tower sequences into moving trajectories on a road map by considering the unique features of cellular data, like the dynamic density of cell towers and bidirectional roads. To further improve the accuracy of similarity search, map matching outputs M trajectory candidates of different confidence, and a new similarity measure scheme is developed to process the map matching results. Meanwhile, M is dynamically adapted to maintain a low false positive rate of the similarity search, and two pruning schemes are proposed to minimize the computation overhead. Extensive experiments on a dataset of 3,186,000 mobile users and real-world trajectories of 1701 km reveal that cellSim provides high accuracy (precision 62.4% and recall of 89.8%). Copyright © 2019, The Authors. All rights reserved.

关键词： Trajectories

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The impact of product returns on delivery time decision 46

The impact of product returns on delivery time decision

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46th International Conferences on Computers and Industrial engineering, CIE 2016

作者： Zhao, Si-Si Wu, Feng Shu, Lei Jia, Tao School of Management Xi'an Jiaotong University Xi'an China School of Management Xi'an Jiaotong University Key Lab of the Ministry Of Education for Process Control and Efficiency Engineering Xi'an China

The increasing quantity of product returns has been one of the major problems faced by many businesses in online retailing. Besides the quality of products and other factors such as price, the inconsistency between promised delivery lead time (PDL) and actual realized lead time could increase product returns to some extent. Thus, this paper studies the impact of product returns on the business's joint decisions of PDL and service level when both demand and returns are leadtimesensitive. Through revealing the tradeoff among the shorter PDL to capture more demand, the higher service level or the longer PDL to decrease the probability of returns due to delay and the cost in online retailing, we show that the PDL is not affected by returns when the returns sensitivity to delay is relatively low and increases with returns while the delay sensitivity increases to a threshold. In addition, the threshold decreases in the return rate to demand, which means the impact of product returns would be more serious on the business with a high return rate with respect to demand.

关键词： Costs

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