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| 1 | Continuous production of biodiesel from cottonseed oil and methanol using a column reactor packed with calcined sodium silicate base catalyst显示文摘Sodium silicate and that calcined at 400 °C for 2 h were used to catalyze the transesterification of cottonseed oil with methanol. Calcined sodium silicate(CSS) catalyst exhibited much higher catalytic activity and stability. A maximum biodiesel yield of 98.9% was achieved at methanol/oil mole ratio of 12:1, reaction temperature65 °C, reaction time 3.0 h, and CSS/oil mass ratio of 2 wt%. After 7 consecutive reactions without any treatment,biodiesel yield reduced to 82.5%. Considering technological and economic feasibility, CSS base catalyst supported on θ rings was prepared for continuous transesterification. The maximum yield was 99.1% under optimum conditions(reaction temperature 55 °C, methanol velocity 1 ml·min-1, oil velocity 3 ml·min-1, and 5 tower sections). These results indicate that this new continuous biodiesel production process and apparatus present a great potential for industrial application in biodiesel. | Xia Gui Sichen Chen Zhi Yun | 2016 | Chinese Journal of Chemical Engineering2016，24，4： | 3 |
| 2 | An Outbreak of the SARS-CoV-2 Omicron Variant BA.1—Zhuhai City,Guangdong Province,China,January 13,2022显示文摘On January 13,2022,Zhuhai CDC received a notification that a coronavirus disease 2019(COVID-19)case was found in the fever clinic in nearby Zhongshan City.Zhuhai CDC promptly carried out large-scale population screening in three nearby counties.A total of 4 COVID-19 cases were found in Nanping County.34 cases were screened from close contacts,and 2 cases were reported from close contacts in other cities of Guangdong Province.The 20 cases were sequenced by Guangdong CDC and identified as the variant of concern(VOC)/Omicron variant BA.1.Since January 14,Zhuhai has carried out 8 rounds of nucleic acid screening for COVID-19 in the county where the cases occurred.Four large-scale nucleic acid screening tests for COVID-19 were conducted across the city,and no new community cases were reported after January 15. | Feng Ruan Xuebao Zhang Songjian Xiao Xihe Ni Xiling Yin Zhongwen Ye Guorong Chen Tingting Zhu Zeling Chen Gang Yao Long Chen Sichen Huang Huitao Huang Yi Zhou Heyan Wu Hui Huang Kejing Zhu Shanzi Huang Xiaoou Tang Min Kang Bosheng Li Wenhua Mei | 2022 | China CDC weekly2022，4，30： | 2 |
| 3 | Recent Advances in Two-Dimensional Magnets:Physics and Devices towards Spintronic Applications显示文摘The emergence of low-dimensional nanomaterials has brought revolutionized development of magnetism,as the size effect can significantly influence the spin arrangement.Since the first demonstration of truly two-dimensional magnetic materials(2DMMs)in 2017,a wide variety of magnetic phases and associated properties have been exhibited in these 2DMMs,which offer a new opportunity to manipulate the spin-based devices efficiently in the future.Herein,we focus on the recent progress of 2DMMs and heterostructures in the aspects of their structural characteristics,physical properties,and spintronic applications.Firstly,the microscopy characterization of the spatial arrangement of spins in 2D lattices is reviewed.Afterwards,the optical probes in the light-matter-spin interactions at the 2D scale are discussed.Then,particularly,we systematically summarize the recent work on the electronic and spintronic devices of 2DMMs.In the section of electronic properties,we raise several exciting phenomena in 2DMMs,i.e.,long-distance magnon transport,field-effect transistors,varying magnetoresistance behavior,and(quantum)anomalous Hall effect.In the section of spintronic applications,we highlight spintronic devices based on 2DMMs,e.g.,spin valves,spin-orbit torque,spin field-effect transistors,spin tunneling field-effect transistors,and spin-filter magnetic tunnel junctions.At last,we also provide our perspectives on the current challenges and future expectations in this field,which may be a helpful guide for theorists and experimentalists who are exploring the optical,electronic,and spintronic properties of 2DMMs. | Vertikasari PNingrum Bowen Liu Wei Wang Yao Yin Yi Cao Chenyang Zha Hongguang Xie Xiaohong Jiang Yan Sun Sichen Qin Xiaolong Chen Tianshi Qin Chao Zhu Lin Wang Wei Huang | 2020 | Research2020，，1： | 2 |
| 4 | Electric Vehicle Charging Management Based on Deep Reinforcement Learning显示文摘A time-variable time-of-use electricity price can be used to reduce the charging costs for electric vehicle(EV)owners.Considering the uncertainty of price fluctuation and the randomness of EV owner’s commuting behavior,we propose a deep reinforcement learning based method for the minimization of individual EV charging cost.The charging problem is first formulated as a Markov decision process(MDP),which has unknown transition probability.A modified long short-term memory(LSTM)neural network is used as the representation layer to extract temporal features from the electricity price signal.The deep deterministic policy gradient(DDPG)algorithm,which has continuous action spaces,is used to solve the MDP.The proposed method can automatically adjust the charging strategy according to electricity price to reduce the charging cost of the EV owner.Several other methods to solve the charging problem are also implemented and quantitatively compared with the proposed method which can reduce the charging cost up to 70.2%compared with other benchmark methods. | Sichen Li Weihao Hu Di Cao Tomislav Dragicevic Qi Huang Zhe Chen Frede Blaabjerg | 2022 | Journal of Modern Power Systems and Clean Energy2022，10，3： | 2 |
| 5 | Multi-energy Management of Interconnected Multi-microgrid System Using Multi-agent Deep Reinforcement Learning显示文摘The multi-directional flow of energy in a multi-microgrid(MMG) system and different dispatching needs of multiple energy sources in time and location hinder the optimal operation coordination between microgrids. We propose an approach to centrally train all the agents to achieve coordinated control through an individual attention mechanism with a deep dense neural network for reinforcement learning. The attention mechanism and novel deep dense neural network allow each agent to attend to the specific information that is most relevant to its reward. When training is complete, the proposed approach can construct decisions to manage multiple energy sources within the MMG system in a fully decentralized manner. Using only local information, the proposed approach can coordinate multiple internal energy allocations within individual microgrids and external multilateral multi-energy interactions among interconnected microgrids to enhance the operational economy and voltage stability. Comparative results demonstrate that the cost achieved by the proposed approach is at most 71.1% lower than that obtained by other multi-agent deep reinforcement learning approaches. | Sichen Li Di Cao Weihao Hu Qi Huang Zhe Chen Frede Blaabjerg | 2023 | Journal of Modern Power Systems and Clean Energy2023，11，5： | 0 |
| 6 | Physiological,transcriptome and gene functional analysis provide novel sights into cadmium accumulation and tolerance mechanisms in kenaf显示文摘Kenaf is considered to have great potential for remediation of heavy metals in ecosystems.However,studies on molecular mechanisms of root Cd accumulation and tolerance are still inadequate.In this study,two differently tolerant kenaf cultivars were selected as materials and the physiological and transcriptomic effects were evaluated under Cd stress.This study showed that 200μmol/L CdCl_(2) treatment triggered the reactive oxygen species(ROS)explosion and membrane lipid peroxidation.Compared with the Cd-sensitive cultivar‘Z',the Cd-tolerant cultivar‘F'was able to resist oxidative stress in cells by producing higher antioxidant enzyme activities and increasing the contents of ascorbic acid(AsA)and glutathione(GSH).The root cell wall of‘F'exhibited higher polysaccharide contents under Cd treatment,providing more Cd-binding sites.There were 3,439 differentially expressed genes(DEGs)that were co-regulated by Cd treatment in two cultivars.Phenylpropanoid biosynthesis and plant hormone signal transduction pathways were significantly enriched by functional annotation analysis.DEGs associated with pectin,cellulose,and hemi-cellulose metabolism were involved in Cd chelation of root cell wall;V-ATPases,ABCC3 and Narmp3 could participated in vacuolar compartmentalization of Cd;PDR1 was responsible for Cd effux;the organic acid transporters contributed to the absorption of Cd in soil.These genes might have played key roles in kenaf Cd tolerance and Cd accumulation.Moreover,HcZIP2 was identified to be involved in Cd uptake and transport in kenaf.Our findings provide a deeper understanding of the molecular pathways underlying Cd accumulation and detoxification mechanisms in kenaf. | Shan Cao Meng Wang Jiao Pan Dengjie Luo Samavia Mubeen Caijin Wang Jiao Yue Xia Wu Qijing Wu Hui Zhang Canni Chen Muzammal Rehman Sichen Xie Ru Li Peng Chen | 2024 | Journal of Environmental Sciences2024，，3： | 0 |
| 7 | Computational methods for identifying enhancer-promoter interactions显示文摘Background:As parts of the cis-regulatory mechanism of the human genome,interactions between distal enhancers and proximal promoters play a crucial role.Enhancers,promoters,and enhancer-promoter interactions(EPIs)can be detected using many sequencing technologies and computation models.However,a systematic review that summarizes these EPI identification methods and that can help researchers apply and optimize them is still needed.Results:In this review,we first emphasize the role of EPIs in regulating gene expression and describe a generic framework for predicting enhancer-promoter interaction.Next,we review prediction methods for enhancers,promoters,loops,and enhancer-promoter interactions using different data features that have emerged since 2010,and we summarize the websites available for obtaining enhancers,promoters,and enhancer-promoter interaction datasets.Finally,we review the application of the methods for identifying EPIs in diseases such as cancer.Conclusions:The advance of computer technology has allowed traditional machine learning,and deep learning methods to be used to predict enhancer,promoter,and EPIs from genetic,genomic,and epigenomic features.In the past decade,models based on deep learning,especially transfer learning,have been proposed for directly predicting enhancer-promoter interactions from DNA sequences,and these models can reduce the parameter training time required of bioinformatics researchers.We believe this review can provide detailed research frameworks for researchers who are beginning to study enhancers,promoters,and their interactions. | Haiyan Gong Zhengyuan Chen Yuxin Tang Minghong Li Sichen Zhang Xiaotong Zhang Yang Chen | 2023 | Quantitative Biology2023，11，2： | 0 |
| 8 | Insulation Properties and Degradation Mechanism for XLPE Subjected to Different Aging Periods显示文摘Due to its excellent insulation and mechanical properties,cross-linked polyethylene(XLPE)is widely used as the insulation candidate of power cables in power transmission and distribution systems.However,its performance can be affected due to various stresses,which endangers safe operation of the power system in service.In this paper,dielectric and insulation properties of XLPE materials of 110 kV cables with the service lives of 0,15,and 30 years were tested and evaluated.Results show that with increase of service life,dielectric loss caused by the polarization process increases significantly,and dielectric strength decreases as well.Power frequency breakdown field strength and crystallinity decrease significantly,and carbonyl index increases.The degradation process of XLPE can be divided into two stages:the structure of the crystalline region of the original sample is relatively complete,and loss can be almost ignored.After long-term service,the crystallization region is destroyed,and thermal oxygen reaction occurs.Intermolecular force is weakened,which makes breakdown easier to occur.However,there is no direct relation between the carbonyl index and macroscopic characteristics.This paper reveals the deterioration law of the XLPE cable insulation,which provides a theoretical basis for evaluating cable aging condition and is of great significance to improve cable operation safety and maintenance quality. | Qian Wang Rui Liu Sichen Qin Xi Chen Zicai Shen Zhe Hou Zeli Ju | 2023 | CSEE Journal of Power and Energy Systems2023，9，5： | 0 |
| 9 | Research on the Hybrid Energy Storage based Photovoltaic Piconets and the Isolated Net Running Comprehensive Control System in the Campus Environment显示文摘 | Xuejin Chen Dongyang Hu Huijing Cao Zhen Sha Sichen Xiong | 2015 | International Journal of Technology Management2015，，9： | 0 |
| 10 | Control Effects of Different Doses of MCPA-Na Against Weeds in Foxtail Millet Field显示文摘[Objective]The paper was compare the control effects of different doses of MCPA-Na on weeds in foxtail millet field.[Method]Different doses of MCPA-Na were sprayed on foxtail millet field,while artificial weeding and spraying water was designed as control. The strain control effect and fresh weight control effect were calculated. [Result]The strain control effect and fresh weight control effect of 2 250 g/hm^2 MCPA-Na at 25 and 40 d post spraying were the best,and the fresh weight control effects reached 84. 19% and 87. 23%,respectively. Compared to CK,the yield increase effect of 1 500 g/hm^2 was the best,and the yield increase rate was 54. 31%; followed by 1 125 g/hm^2. Generally,1 500 g/hm^2 was the best dosage of MCPA-Na in foxtail millet production. [Conclusion]The paper provided a theoretical basis for screening the best dose of herbicide in foxtail millet production. | Cao Xiaoning Wang Junjie Liu Sichen Chen Ling Wang Haigang Tian Xiang Qiao Zhijun | 2017 | Plant Diseases and Pests2017，8，1： | 0 |
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