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An advection fog event response to future climate forcing in the 2030s-2080s:a case study for Shanghai

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Frontiers of Earth Science 2023年第2期17卷 527-546页

作者： Ying GU Hiroyuki KUSAKA Quang-Van doan School of Air Transportation Shanghai University of Engineering ScienceShanghai 201620China Center for Computational Sciences University of Tsukuba1-1-1 TennodaiTsukubaIbaraki 305-8577Japan

Fog may continue to inhibit industry in the ***,we focused on a specific advection fog event in Shanghai,China,and applied a pseudo global warming method to examine advection fog under the RCP8.5 highemission *** method involved downscaling the future atmospheric conditions over the ensemble average of 19 global climate models from the fifth phase of the Coupled Model Intercomparison Project(CMIP5).We used the Weather Research and Forecasting Model coupled with a single-layer urban canopy model(WRF‒UCM)to run four sensitivity experiments and examined the advection fog and its relationship to changes in meteorological *** results showed that:1)The advection fog event tended to remain in Shanghai despite global warming;2)advection fog will not change greatly in the future;however,the onset and dissipation times will change slightly;3)relative humidity(RH)locally increases prior to the onset of the advection fog,and decreases at the dissipating stage,despite the current and future experiments having the same RH initial and boundary conditions;4)a small increase in surface air temperature and an increase in RH contribute to the early advection fog onset,and vice *** facilitates the early onset and dissipation of advection fog.

关键词： advection fog global warming PGW DDS WRF-UCM Shanghai

Transforming growth factor beta 1, a cytokine with regenerative functions

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Neural Regeneration Research 2016年第10期11卷 1549-1552页

作者： Wale Sulaiman doan H. Nguyen Ochsner Health System Department of Neurosurgery Back and Spine Center Tulane University New Orleans LA USA aboratory of Neural Injury and Regeneration Ochsner Medical Center New Orleans LA USA

We review the biology and role of transforming growth factor beta 1 （TGF-β1） in peripheral nerve injury and regeneration, as it relates to injuries to large nerve trunks （i.e., sciatic nerve, brachial plexus）, which often leads to suboptimal functional recovery. Experimental studies have suggested that the reason for the lack of functional recovery resides in the lack of sufficient mature axons reaching their targets, which is a result of the loss of the growth-supportive environment provided by the Schwann cells in the distal stump of injured nerves. Using an established chronic nerve injury and delayed repair animal model that accu- rately mimics chronic nerve injuries in humans, we summarize our key findings as well as others to better understand the pathophysiology of poor functional recovery. We demonstrated that 6 month TGF-β1 treat- ment for chronic nerve injury significantly improved Schwann cell capacity to support axonal regeneration. When combined with forskolin, the effect was additive, as evidenced by a near doubling of regenerated axons proximal to the repair site. We showed that in vivo application of TGF-β1 and forskolin directly onto chronically injured nerves reactivated chronically denervated Schwann cells, induced their proliferation, and upregulated the expression of regeneration-associated proteins. The effect of TGF-β1 and forskolin on old nerve injuries is quite impressive and the treatment regiment appears to mediate a growth-supportive milieu in the injured peripheral nerves. In summary, TGF-β1 and forskolin treatment reactivates chronical- ly denervated Schwann cells and could potentially be used to extend and prolong the regenerative responses to promote axonal regeneration.

关键词： chronic nerve injuries transforming growth factor Schwann cells axonal regeneration regeneration-associatedproteins functional recovery

The influence of aggregation of latex particles on membrane fouling attachments&ultrafiltration performance in ultrafiltration of latex contaminated water and wastewater

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Journal of Environmental Sciences 2017年第2期29卷 118-129页

作者： Amira Abdelrasoul Huu doan Ali Lohi Chil-Hung Cheng Department of Chemical Engineering Ryerson University350 Victoria StreetTorontoOntario MSB 2K3Canada.

The goal of the present study was to investigate the influence of latex particle aggregation on membrane fouling attachments and the ultrafiltration performance of simulated latex effluent using Cetyltrimethyl Ammonium Bromide（CTAB） as a cationic surfactant. Hydrophilic polysulfone and ultrafilic flat heterogeneous membranes, with molecular weight cut off（MWCO） of 60,000 and 100,000, respectively, as well as hydrophobic polyvinylidene difluoride with MWCO of 100,000, were used under a constant flow rate and cross-flow mode in ultrafiltration of latex solution. In addition, a polycarbonate flat membrane with uniform pore size of 0.05 μm was likewise used during the experiment. The effects of CTAB on the latex particle size distribution were investigated at various concentrations, different treatment times, and diverse agitation duration times. The effects of CTAB on the zeta potential of membrane surfaces and latex particles were also investigated. The data obtained indicate that the particle size distribution of treated latex effluent experienced significant shifts in the peaks toward a larger size range caused by the aggregation of particles. As a result, the mass of fouling contributing to pore blocking and the irreversible fouling were noticeably reduced. The optimum results occurred in the instance when CTAB was added at the critical micelle concentration of 0.36 g/L, for the duration of 10 min and with minimal agitation. Notably, a higher stirring rate had an overall negative effect on the membrane fouling minimization.

关键词： Cationic surfactant Aggregation Particle size Pore blocking Attraction forces

Container Instrumentation and Enforcement System for Runtime Security of Kubernetes Platform with eBPF

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Intelligent Automation & Soft Computing 2023年第8期37卷 1773-1786页

作者： Songi Gwak Thien-Phuc doan Souhwan Jung Soongsil University Seoul06978Korea

Containerization is a fundamental component of modern cloud-native infrastructure,and Kubernetes is a prominent platform of container orchestration ***,containerization raises significant security concerns due to the nature of sharing a kernel among multiple containers,which can lead to container breakout or privilege *** cannot avoid it as *** various tools,such as container image scanning and configuration checking,can mitigate container workload vulnerabilities,these are not foolproof and cannot guarantee perfect isolation or prevent every active threat in *** such,a policy enforcement solution is required to tackle the problem,and existing solutions based on LSM(Linux Security Module)frameworks may not be adequate for some *** address this,we propose an enforcement system based on BPF-LSM,which leverages eBPF(extended Berkeley Packet Filter)technology to provide fine-grained control and dynamic adoption of security *** this paper,we compare different LSM implementations to highlight the challenges of current enforcement solutions before detailing the design of our eBPF-based Kubernetes Runtime Instrumentation and Enforcement System(KRSIE).Finally,we evaluate the effectiveness of our system using a real-world scenario,as measuring the performance of a policy enforcement system is a complex *** results show that KRSIE can successfully control containers’behaviors using LSM hooks at container runtime,offering improved container security for cloud-native infrastructure.

关键词： Container kubernetes runtime security eBPF enforcement

Sequencing of multi-robot behaviors using reinforcement learning

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Control Theory and Technology 2021年第4期19卷 529-537页

作者： Pietro Pierpaoli Thinh T.doan Justin Romberg Magnus Egerstedt School of Electrical and Computer Engineering Georgia Institute of TechnologyAtlantaGA 30332USA Department of Electrical and Computer Engineering Virginia TechBlacksburgVA 24061USA Samueli School of Engineering University of CaliforniaIrvineCA 92697USA

Given a collection of parameterized multi-robot controllers associated with individual behaviors designed for particular tasks,this paper considers the problem of how to sequence and instantiate the behaviors for the purpose of completing a more complex,overarching *** addition,uncertainties about the environment or even the mission specifcations may require the robots to learn,in a cooperative manner,how best to sequence the *** this paper,we approach this problem by using reinforcement learning to approximate the solution to the computationally intractable sequencing problem,combined with an online gradient descent approach to selecting the individual behavior parameters,while the transitions among behaviors are triggered automatically when the behaviors have reached a desired performance level relative to a task performance *** illustrate the efectiveness of the proposed method,it is implemented on a team of diferential-drive robots for solving two diferent missions,namely,convoy protection and object manipulation.

关键词： Multi-robot systems Reinforcement learning Distributed control

Dam deformation analysis based on BPNN merging models

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Geo-Spatial Information Science 2018年第2期21卷 149-157页

作者： Jingui Zou Kien-Trinh Thi Bui Yangxuan Xiao Chinh Van doan School of Geodesy and Geomatics Wuhan UniversityWuhanChina Geomatics Centre Thuyloi UniversityHanoiVietnam Institute of Technique Special Engineering Le Quy Don Technical UniversityHanoiVietnam

Hydropower has made a significant contribution to the economic development of Vietnam,thus it is important to monitor the safety of hydropower dams for the good of the country and the *** this paper,dam horizontal displacement is analyzed and then forecasted using three methods:the multi-regression model,the seasonal integrated auto-regressive moving average(SARIMA)model and the back-propagation neural network(BPNN)merging *** monitoring data of the Hoa Binh Dam in Vietnam,including horizontal displacement,time,reservoir water level,and air temperature,are used for the *** results indicate that all of these three methods can approximately describe the trend of dam deformation despite their different forecast ***,their short-term forecasts can provide valuable references for the dam safety.

关键词： Dam deformation analysis multi-regression model Back-propagation Neural Network(BPNN) Seasonal Integrated Auto-regressive Moving Average(SARIMA)model merging model

Using a Workflow Management Platform in Textual Data Management

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Data Intelligence 2022年第2期4卷 398-408页

作者： Triet Ho Anh doan Sven Bingert Ramin Yahyapour Gesellschaft fur wissenschafliche Datenverarbeitung mbH Gottingen 37077 GottingenGermany

The paper gives a brief introduction about the workflow management platform,Flowable,and how it is used for textual-data *** is relatively new with its first release on 13 October,*** the short time on the market,it seems to be quickly well-noticed with 4.6 thousand stars on GitHub at the *** focus of our project is to build a platform for text analysis on a large scale by including many different text ***,we have successfully connected to four different text resources and obtained more than one million *** resources are dynamic,which means that they might add more data or modify their current ***,it is necessary to keep data,both the metadata and the raw data,from our side up to date with the *** addition,to comply with FAIR principles,each work is assigned a persistent identifier(PID)and indexed for searching *** the last step,we perform some standard analyses on the data to enhance our search engine and to generate a knowledge ***-users can utilize our platform to search on our data or get access to the knowledge ***,they can submit their code for their analyses to the *** code will be executed on a High-Performance Cluster(HPC)and users can receive the results later *** this case,Flowable can take advantage of PIDs for digital objects identification and management to facilitate the communication with the HPC *** one may already notice,the whole process can be expressed as a workflow.A workflow,including error handling and notification,has been created and *** execution can be triggered manually or after predefined time *** to our evaluation,the Flowable platform proves to be powerful and *** usage of the platform is already planned or implemented for many of our projects.

关键词： Flowable workflow text analysis knowledge graph persistent identifier

Carboxymethyl starch cross-linked by electron beam radiation in presence of acrylic acid sensitizer

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Nuclear Science and Techniques 2013年第B12期24卷 19-22页

作者： doan Binh Nguyen Thanh Duoc Pham Thi Thu Hong R & D Center for Radiation Technology Vietnam Atomic Energy Institute 202A St. 11 Linh Xuan Ward Thu Duc District Ho Chi Minh City Vietnam

Carboxymethyl starch (CMS) can be cross-linked by electron beam radiation to form a biocompatible and environment-friendly hydrogel at a high absorbed dose and a condensed CMS concentration. Acrylic acid (AAc) can be used as a sensitizer in order to reduce the absorbed doses to an acceptable certain level. At an absorbed dose of 3-4 kGy, the gel content of crosslinked CMS can be obtained about 50% with 5% (w/w) AAc concentration used. The compressive strength of CMS samples increased with increasing their cross-linked densities due to raising absorbed doses. The swelling ratio of cross-linked CMS was also attainable at a maximum of 50 times in the distilled water. The enzymatic degradation of cross-linked CMS was carried out in acetate buffer pH 4.6 with 0.1% α-amylase enzymatic solution incubated at 40°C for 6 h. The crosslinked CMS samples were degraded slower than uncrosslinked CMS ones. The results indicated that the highly cross-linked CMS was almost fully degradable when the enzymatic hydrolysis was performed during 6 h. The FT IR spectra of cross-linked CMS in the presence of AAc were examined to observe the carboxyl group of AAc in the structure of cross-linked CMS. The hydrophilic of cross-linked CMS surface was determined by a contact-angle analysis. © 2013, Science Press. All rights reserved.

关键词：交联密度羧甲基淀粉电子束辐射丙烯酸敏化剂 FT-IR光谱吸收剂量 CMS

Adaptive Controller Design for Dynamic Maneuvers of High Speed Underwater Vehicles

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China Ocean Engineering 2022年第2期36卷 311-321页

作者： Bui Duc Hong PHUC Sam-Sang YOU Phuc Thinh doan Sang-Do LEE Department of Mechanical Engineering The University of TulsaTulsaOK 74104USA Division of Mechanical Engineering Korea Maritime and Ocean UniversityBusan 49112Republic of Korea Institute of Interdisciplinary Social Sciences Nguyen Tat Thanh UniversityHo Chi Minh CityVietnam Division of Navigation and Information System Mokpo National Maritime UniversityMokpoJeollanam-do 58628Republic of Korea

The control synthesis of the high-speed underwater vehicle faces many technical challenges due to its inherent structure and surrounding operational *** this paper,the dynamical behavior is firstly described through a bifurcation analysis to give some insights for robust control *** a novel adaptive fractional-order sliding mode controller(AFOSMC)is realized to effectively manipulate the supercavitating vehicle against payload changes,nonlinear planing force,and external *** fractional order(FO)calculus can offer more flexibility and more freedom for tuning active control synthesis than the integer-order *** addition,the adaptation law has been presented to directly handle the payload change *** stability of the controlled vehicle system is proven via Lyapunov stability ***,the dynamic performance of the proposed controller is verified through extensive simulation results,which demonstrate the control accuracy with faster responses compared with existing integer-order ***,the proposed fractional order controllers can provide higher performance than their integer order counterparts with control algorithms.

关键词： fractional order calculus supercavitating underwater vehicles planing force payload change adaptive sliding mode control