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| 1 | Removal of total cyanide in coking wastewater during a coagulation process: Significance of organic polymers显示文摘Whether a cationic organic polymer can remove more total cyanide(TCN) than a non-ionic organic polymer during the same flocculation system has not been reported previously. In this study, the effects of organic polymers with different charge density on the removal mechanisms of TCN in coking wastewater are investigated by polyferric sulfate(PFS) with a cationic organic polymer(PFS-C) or a non-ionic polymer(PFS-N). The coagulation experiments results show that residual concentrations of TCN(Fe(CN)3-6) after PFS-C flocculation(TCN < 0.2 mg/L) are much lower than that after PFS-N precipitation. This can be attributed to the different TCN removal mechanisms of the individual organic polymers. To investigate the roles of organic polymers, physical and structural characteristics of the flocs are analyzed by FT-IR, XPS, TEM and XRD. Owing to the presence of N+in PFS-C, Fe(CN)3-6 and negative flocs(Fe(CN)3-6adsorbed on ferric hydroxides) can be removed via charge neutralization and electrostatic patch flocculation by the cationic organic polymer. However, non-ionic N in PFS-N barely reacts with cyanides through sweeping or bridging, which indicates that the non-ionic polymer has little influence on TCN removal. | Jian Shen He Zhao Hongbin Cao Yi Zhang Yongsheng Chen | 2014 | Journal of Environmental Sciences2014，26，2： | 9 |
| 2 | Mechanism and numerical simulation of pressure stagnation during water jetting perforation显示文摘当与一口磨料水喷气穿孔时,因为水喷气靠着洞墙爆炸,洞(穿孔) 里的压力将在体环比那高,是可能的,它也是水疗院喷气断裂的技术的理论基础。这份报纸分析在水喷气洞里产生压力停滞的机制,并且提出 hydroseal 的一个新概念。然后,洞里的压力的分发与有限元素方法被模仿。模拟结果证明洞里的压力在体环比那高。另外,更低环形的压力(限制压力) 并且越高爆炸压力,越 greater 压力差别。显示的一个实验水泥样品被提起在上面在压力下面,洞里的停滞,它证明了有限元素模拟显然结果。 | Huang Zhongwei Li Gensheng Tian Shouceng Shen Zhonghou Luo Hongbin | 2008 | Petroleum Science2008，5，1： | 5 |
| 3 | Constrained crystals deep convolutional generative adversarial network for the inverse design of crystal structures显示文摘Autonomous materials discovery with desired properties is one of the ultimate goals for materials science,and the current studies have been focusing mostly on high-throughput screening based on density functional theory calculations and forward modeling of physical properties using machine learning.Applying the deep learning techniques,we have developed a generative model,which can predict distinct stable crystal structures by optimizing the formation energy in the latent space.It is demonstrated that the optimization of physical properties can be integrated into the generative model as on-top screening or backward propagator,both with their own advantages.Applying the generative models on the binary Bi-Se system reveals that distinct crystal structures can be obtained covering the whole composition range,and the phases on the convex hull can be reproduced after the generated structures are fully relaxed to the equilibrium.The method can be extended to multicomponent systems for multi-objective optimization,which paves the way to achieve the inverse design of materials with optimal properties. | Teng Long Nuno M.Fortunato Ingo Opahle Yixuan Zhang Ilias Samathrakis Chen Shen Oliver Gutfleisch Hongbin Zhang | 2021 | npj Computational Materials2021，，1： | 4 |
| 4 | Very Short-term Spatial and Temporal Wind Power Forecasting: A Deep Learning Approach显示文摘In power systems that experience high penetration of wind power generation,very short-term wind power forecast is an important prerequisite for look-ahead power dispatch.Conventional univariate wind power forecasting methods at presentonly utilize individual wind farm historical data.However,studies have shown that forecasting accuracy canbe improved by exploring both spatial and temporal correlations among adjacent wind farms.Current research on spatial-temporal wind power forecasting is based on relatively shallow time series models that,to date,have demonstrated unsatisfactory performance.In this paper,a convolution operation is used to capture the spatial and temporal correlations among multiple wind farms.A novel convolution-based spatial-temporal wind power predictor(CSTWPP)is developed.Due to CSTWPP’s high nonlinearity and deep architecture,wind power variation features and regularities included in the historical data can be more effectively extracted.Furthermore,the online training of CSTWPP enables incremental learning,which makes CSTWPP non-stationary and in conformity with real scenarios.Graphics processing units(GPU)is used to speed up the training process,validating the developed CSTWPP for real-time application.Case studies on 28 adjacent wind farms are conducted to show that the proposed model can achieve superior performance on 5-30 minutes ahead wind power forecasts. | Tianyu Hu Wenchuan Wu Qinglai Guo Hongbin Sun Libao Shi Xinwei Shen | 2020 | CSEE Journal of Power and Energy Systems2020，6，2： | 3 |
| 5 | Combined Electric and Heat System Testbeds for Power Flow Analysis and Economic Dispatch显示文摘In combined electric and heat systems,selecting a suitable testbed for power flow analysis or economic dispatch is not easy:a large number of existing testbeds are not opensource,while others are difficult to be reused by other researchers due to the particularity of system scale,topology,and data.In this paper,we present three open-source testbeds with different scales based on practical combined electric and heat systems.To satisfy researchers'specific demands on the system topology and data,we also discuss how to modify testbeds based on existing topologies and data.Researchers can use the testbeds presented in this paper to test their innovative methods for power flow analysis and economic dispatch,and can also design their own testbeds based on the methodology in this paper,using published topologies and data. | Xin Qin Xinwei Shen Ye Guo Zhaoguang Pan Qinglai Guo Hongbin Sun | 2021 | CSEE Journal of Power and Energy Systems2021，7，1： | 3 |
| 6 | Brain-wide Mapping of Mono-synaptic Afferents to Different Cell Types in the Laterodorsal Tegmentum显示文摘The laterodorsal tegmentum(LDT) is a brain structure involved in distinct behaviors including arousal,reward, and innate fear. How environmental stimuli and top-down control from high-order sensory and limbic cortical areas converge and coordinate in this region to modulate diverse behavioral outputs remains unclear.Using a modified rabies virus, we applied monosynaptic retrograde tracing to the whole brain to examine the LDT cell type specific upstream nuclei. The LDT received very strong midbrain and hindbrain afferents and moderate cortical and hypothalamic innervation but weak connections to the thalamus. The main projection neurons from cortical areas were restricted to the limbic lobe, including the ventral orbital cortex(VO), prelimbic, and cingulate cortices. Although different cell populations received qualitatively similar inputs, primarily via afferents from the periaqueductal gray area, superior colliculus, and the LDT itself, parvalbumin-positive(PV?) GABAergic cells received preferential projections from local LDT neurons.With regard to the different subtypes of GABAergic cells, aconsiderable number of nuclei, including those of the ventral tegmental area, central amygdaloid nucleus, and VO, made significantly greater inputs to somatostatinpositive cells than to PV?cells. Diverse inputs to the LDT on a system-wide level were revealed. | Xiaomeng Wang Hongbin Yang Libiao Pan Sijia Hao Xiaotong Wu Li Zhan Yijun Liu Fan Meng Huifang Lou Ying Shen Shumin Duan Hao Wang | 2019 | Neuroscience Bulletin2019，35，5： | 3 |
| 7 | Application of Modified Progressive Hedging for Stochastic Unit Commitment in Electricity-Gas Coupled Systems显示文摘The increasing number of gas-fired units has significantly intensified the coupling between electric and gas power networks.Traditionally,nonlinearity and nonconvexity in gas flow equations,together with renewable-induced stochasticity,resulted in a computationally expensive model for unit commitment in electricity-gas coupled integrated energy systems(IES).To accelerate stochastic day-ahead scheduling,we applied and modified Progressive Hedging(PH),a heuristic approach that can be computed in parallel to yield scenario-independent unit commitment.Through early termination and enumeration techniques,the modified PH algorithm saves considerable com,putational time for certain generation cost settings or when the scale of the IES is large.Moreover,an adapted second-order cone relaxation(SOCR)is utilized to tackle the nonconvex gas flow equation.Case studies were performed on the IEEE 24.bus system/Belgium 20-node gas system and the IEEE 118-bus system/Belgium 20-node gas system.The computational efficiency when employing PH is 188 times that of commercial software,and the algorithm even outperforms Benders Decomposition.At the same time,the gap between the PH algorithm and the benchmark is less than 0.01% in both IES systems,which proves that the solutions produced by PH reach acceptable optimality in this stochastic UC problem. | Haizhou Liu Xinwei Shen Qinglai Guo Hongbin Sun Mohammad Shahidehpour Wenzhi Zhao Xinyi Zhao | 2021 | CSEE Journal of Power and Energy Systems2021，7，4： | 3 |
| 8 | Surveillance of emerging infectious diseases for biosecurity显示文摘Emerging infectious diseases, such as COVID-19, continue to pose significant threats to human beings and their surroundings. In addition, biological warfare, bioterrorism, biological accidents, and harmful consequences arising from dual-use biotechnology also pose a challenge for global biosecurity. Improving the early surveillance capabilities is necessary for building a common biosecurity shield for the global community of health for all. Furthermore, surveillance could provide early warning and situational awareness of biosecurity risks. However, current surveillance systems face enormous challenges, including technical shortages, fragmented management, and limited international cooperation. Detecting emerging biological risks caused by unknown or novel pathogens is of particular concern. Surveillance systems must be enhanced to effectively mitigate biosecurity risks. Thus, a global strategy of meaningful cooperation based on efficient integration of surveillance at all levels, including interdisciplinary integration of techniques and interdepartmental integration for effective management, is urgently needed. In this paper, we review the biosecurity risks by analyzing potential factors at all levels globally. In addition to describing biosecurity risks and their impact on global security, we also focus on analyzing the challenges to traditional surveillance and propose suggestions on how to integrate current technologies and resources to conduct effective global surveillance. | Rongzhang Hao Yuqi Liu Wanzhu Shen Rongtao Zhao Bo Jiang Hongbin Song Muyang Yan Hui Ma | 2022 | Science China(Life Sciences)2022，65，8： | 2 |
| 9 | Enhanced peel resistance of fiber reinforced phenolic foams显示文摘 | Hongbin Shen Andre J. Lavoie Steven R. Nutt | 2003 | Composites Part A2003，，10： | 2 |
| 10 | Flammability properties and mechanical performance of epoxy modified phe- nolic foams显示文摘 | AUAD M L ZHAO L SHEN Hongbin | 2007 | Journal of Applied Polymer Science2007，104，3： | 1 |
| 11 | Adaptive fire- fly algorithm: parameter analysis and its application显示文摘 | Cheung N J Ding Xueming Shen Hongbin | 2014 | PLoS ONE2014，9，11： | 1 |
| 12 | 1 st- Stokes and 2nd-Stokes dual-wavelength operation and mode-locking modulation in diode-side-pumped Nd:YAG/ BaWO4 Raman laser 显示文摘 | Shen Hongbin Wang Qingpu Zhang Xingyu | 2012 | Optics Express2012，20，17： | 1 |
| 13 | Cascaded centralized TSK fuzzy system:universal approximator and high interpretation显示文摘 | Wang Shitong Chung F L Shen Hongbin | 2005 | Applied Soft Computing2005，5，2： | 1 |
| 14 | Mechanical characterization of short fiber reinforced phenolic foam显示文摘 | SHEN Hongbin NUTT S | 2003 | Composites Part Az Applied Science and Manufacturing2003，34，9： | 1 |
| 15 | Ensemble classifier for protein fold pattern recognition 显示文摘 | SHEN Hongbin CHOU Kuochen | 2006 | Bioinformatics2006，22，14： | 1 |
| 16 | Flammability properties and mechanical performance of epoxy modified phenolic foams 显示文摘 | Maria L Auad Lihua Zhao Hongbin Shen | 2007 | Journal of Applied Polymer Science2007，104，： | 1 |
| 17 | Mechanical characterization of short fi- ber reinforced phenolic foam 显示文摘 | Hongbin Shen Steven Nutt | 2003 | Composites Part A:applied science and manufacturing2003，34，9： | 1 |
| 18 | Coagulation behaviors and in-situ flocs characteristics of composite coagulants in cyanide-containing wastewater:Role of cationic polyelectrolyte显示文摘In this paper,composite coagulants(PFS,PFSC05,PFSC1 and PFSC5),prepared by mixing polyferric sulfate(PFS)and cationic polyelectrolyte(CP)coagulants with different weight percent(Wp)of CP(Wp=0%,0.5%,1%and 5%,respectively),were adopted to treat cyanide-containing wastewater.PFSC5 exhibited superior coagulation performances at optimal conditions:the removal of total cyanide(TCN)and chemical oxygen demand(COD)was 95%–97%and 50%–55%,respectively.The effects of CP on the properties and structure of flocs were investigated by laser diffraction instrument and small-angle laser light scattering(SALLS),respectively.The results show that the flocs of PFSC5 have higher growth rate,higher strength factor and lower recovery factor than other flocs.They are also much denser and more uniform owing to the higher fractal dimension(Df)and less microflocs(10–100 m).Furthermore,the dense structure of the PFSC5 flocs can be restored after shear and is more resistant to hydraulic conditions.Particularly,detailed morphology evolution of the flocs was in-situ detected by on-line particle imaging.Due to strong ionic strength in wastewater,the CP in PFSC5 plays a significant role of adsorption,while the main mechanism of CP is electrostatic patch aggregation during the PFSC05 systems. | SHEN Jian ZHAO He XIE YongBing CAO HongBin ZHANG Yi | 2013 | Science China Chemistry2013，56，12： | 1 |
| 19 | Mechanical characterization of short fiber reinforced phenolic foam显示文摘 | Hongbin Shen Steven Nut | 2003 | Composites2003，34，： | 1 |
| 20 | Enhanced peel resistance of fiber reinforced phenolic foams显示文摘 | Hongbin Shen Andre J Lavoie Steven R Nutt | 2003 | Applied Science and Manufacturing2003，34，4： | 1 |
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