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Journal Article 15

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3D printing 1

Aphanomyces euteiches 1

Al2O3 1

Craniomaxillofacial reconstruction 1

Energy landscape paving 1

FA dehydrogenation 1

Field pea 1

Intra-cell communication 1

Layout design 1

Layout optimization 1

Packing 1

Pathogenicity variability 1

Patient-specific implant 1

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PdAu solid solution alloy nanoparticles 1

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Insights into carbon-based materials for catalytic dehydrogenation of low-carbon alkanes and ethylbenzene

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 11,   Pages 1623-1648 doi: 10.1007/s11705-023-2328-6

Abstract: Direct dehydrogenation with high selectivity and oxidative dehydrogenation with low thermal limit hasrich pore texture and large surface area, are ideal platforms as the catalysts and the supports for dehydrogenationIn this review, carbon materials applied in direct dehydrogenation and oxidative dehydrogenation reactionsA general introduction to the dehydrogenation mechanism and active sites of carbon catalysts is brieflypresented to provide a deep understanding of the carbon-based materials used in dehydrogenation reactions

Keywords： carbon materials     dehydrogenation     active sites     mechanism     catalytic performance     support    

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Formic acid dehydrogenation reaction on high-performance PdAu alloy nanoparticles prepared by the eco-friendly

Frontiers in Energy   Pages 751-762 doi: 10.1007/s11708-023-0895-3

Abstract: Dehydrogenation of formic acid (FA) is considered to be an effective solution for efficient storage and0.6, 0.8, 1) alloys over the whole composition range were successfully prepared and used to catalyze FAturnover frequency (TOF) value of up to 1648 h−1 (313 K, nPd+Au/nFAHCOOH/nHCOONa = 1:3) with a high activity, selectivity, and reusability in the FAdehydrogenation.

Keywords： FA dehydrogenation     face-centred cubic structures     PdAu solid solution alloy nanoparticles     slow synthesis    

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Effects of ancillary ligands in acceptorless benzyl alcohol dehydrogenation mediated by phosphine-free

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 3,   Pages 314-325 doi: 10.1007/s11705-022-2219-2

Abstract: Acceptorless alcohol dehydrogenation stands out as one of the most promising strategies in hydrogen storagecooperative strategy and compared its activity with analogous catalysts toward acceptorless alcohol dehydrogenationFor the catalytic cycle, two dehydrogenation scenarios were interrogated through density functional theory-C5Me5 ligand played a key role in stabilizing transition states during dehydrogenation

Keywords： acceptorless alcohol dehydrogenation     η5-C5Me5-Co     metal–ligand cooperation    

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Heating energy savings potential from retrofitting old apartments with an advanced double-skin façade

Yeo Beom YOON, Byeongmo SEO, Brian Baewon KOH, Soolyeon CHO

Frontiers in Energy 2020, Volume 14, Issue 2,   Pages 224-240 doi: 10.1007/s11708-020-0801-1

Abstract: This paper proposes an advanced double-skin façade (DSF) system to replace existing balcony windows in

Keywords： double-skin façade     retrofitting     high-rise apartment     heating energy     building simulation    

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stabilization effect of Al2O3 on unconventional Pb/SiO2 catalyst for propane dehydrogenation

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 10,   Pages 1423-1429 doi: 10.1007/s11705-023-2315-y

Abstract: Sn, Pb located at the same group (IVA) in the periodic table of elements, can also catalyze propane dehydrogenation

Keywords： Pb/SiO2     Al2O3     propane dehydrogenation     propene     stability    

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new energy landscape paving heuristic for satellite module layouts Article

Jing-fa LIU,Juan HUANG,Gang LI,Wen-jie LIU,Ting-zhao GUAN,Liang HAO

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 10,   Pages 1031-1043 doi: 10.1631/FITEE.1500302

Abstract: This article describes a study of the satellite module layout problem (SMLP), which is a three-dimensional (3D) layout optimization problem with performance constraints that has proved to be non-deterministic polynomial-time hard (NP-hard). To deal with this problem, we convert it into an unconstrained optimization problem using a quasi-physical strategy and the penalty function method. The energy landscape paving (ELP) method is a class of Monte-Carlo-based global optimization algorithm that has been successfully applied to solve many optimization problems. ELP can search for low-energy layouts via a random walk in complex energy landscapes. However, when ELP falls into the narrow and deep valleys of an energy landscape, it is difficult to escape. By putting forward a new update mechanism of the histogram function in ELP, we obtain an improved ELP method which can overcome this drawback. By incorporating the gradient method with local search into the improved ELP method, a new global search optimization method, nELP, is proposed for SMLP. Two representative instances from the literature are tested. Computational results show that the proposed nELP algorithm is an effective method for solving SMLP with performance constraints.

Keywords： Three-dimensional packing     Energy landscape paving     Layout optimization     Performance constraints    

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Medical oncology management of advanced hepatocellular carcinoma 2019: a reality check

Amy Lee, Fa-Chyi Lee

Frontiers of Medicine 2020, Volume 14, Issue 3,   Pages 273-283 doi: 10.1007/s11684-019-0728-2

Abstract: In terms of global cancer-related deaths, hepatocellular carcinoma (HCC) has the fourth highest mortality rate. Up until 2017, treatment of advanced HCC was largely limited to sorafenib, an oral tyrosine kinase inhibitor, with little to no success in the development of alternative treatment options. However, in the past two years, there has been an unprecedented increase in both the number and type of treatment options available for HCC. As of 2019, the US FDA has approved four oral tyrosine kinase inhibitors, two immune checkpoint inhibitors, and one anti-angiogenesis antibody for the treatment of HCC. Even with this new variety, systemic treatment of advanced HCC remains largely unsatisfactory, and the median survival rate stands at approximately one year. The expected breakthrough of using immune checkpoint inhibitors in advanced HCC did not materialize in 2019. The use of immune checkpoint inhibitors in conjunction with oral tyrosine kinase inhibitors or anti-angiogenesis medications is the current clinical research trend, the results of which are eagerly anticipated. Despite limited progress in survival, HCC research is currently experiencing a period of growth and innovation, and there is hope for significant advances in the treatment of advanced HCC as the field continues to develop.

Keywords： hepatocellular carcinoma     tyrosine kinase inhibitor     check point inhibitor     anti-angiogenesis    

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Anovel resource optimization scheme for multi-cellOFDMArelay network Article

Ning DU,Fa-sheng LIU

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 8,   Pages 825-833 doi: 10.1631/FITEE.1500294

Abstract: In cellular networks, users communicate with each other through their respective base stations (BSs). Conventionally, users are assumed to be in different cells. BSs serve as decode-and-forward (DF) relay nodes to users. In addition to this type of conventional user, we recognize that there are scenarios users who want to communicate with each other are located in the same cell. This gives rise to the scenario of intra-cell communication. In this case, a BS can behave as a two-way relay to achieve information exchange instead of using conventional DF relay. We consider a multi-cell orthogonal frequency division multiple access (OFDMA) network that comprises these two types of users. We are interested in resource allocation between them. Specifically, we jointly optimize subcarrier assignment, subcarrier pairing, and power allocation to maximize the weighted sum rate. We consider the resource allocation problem at BSs when the end users’ power is fixed. We solve the problem approximately through Lagrange dual decomposition. Simulation results show that the proposed schemes outperform other existing schemes.

Keywords： Intra-cell communication     Two-way relay     Subcarrier assignment     Subcarrier pairing    

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Structural performance of a façade precast concrete sandwich panel enabled by a bar-type basalt fiber-reinforced

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 1,   Pages 122-137 doi: 10.1007/s11709-022-0894-1

Abstract: After the test on the individual performance of the connector, five façade PCSP specimens with the bar-typeconsiderably influenced the out-of-plane flexural performance and composite action of the investigated façade

Keywords： precast concrete sandwich panel     basalt fiber reinforced polymer     pull-out performance     shear performance     out-of-plane flexural performance    

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SPSSNet: a real-time network for image semantic segmentation

Saqib Mamoon, Muhammad Arslan Manzoor, Fa-en Zhang, Zakir Ali, Jian-feng Lu,saqibmamoon@njust.edu.cn,

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 12,   Pages 1671-1814 doi: 10.1631/FITEE.1900697

Abstract: Although deep neural networks (DNNs) have achieved great success in semantic segmentation tasks, it is still challenging for real-time applications. A large number of feature channels, parameters, and floating-point operations make the network sluggish and computationally heavy, which is not desirable for real-time tasks such as robotics and autonomous driving. Most approaches, however, usually sacrifice spatial resolution to achieve inference speed in real time, resulting in poor performance. In this paper, we propose a light-weight semantic segmentation network (SPSSN), which can efficiently reuse the paramount features from early layers at multiple stages, at different spatial resolutions. SPSSN takes input of full resolution 2048×1024 pixels, uses only 1.42×10 parameters, yields 69.4% mIoU accuracy without pre-training, and obtains an inference speed of 59 frames/s on the Cityscapes dataset. SPSSN can run directly on mobile devices in real time, due to its light-weight architecture. To demonstrate the effectiveness of the proposed network, we compare our results with those of state-of-the-art networks.
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Aphanomyces euteiches: A Threat to Canadian Field Pea Production Review

Longfei Wu,Kan-Fa Chang,Robert L.

Engineering 2018, Volume 4, Issue 4,   Pages 542-551 doi: 10.1016/j.eng.2018.07.006

Abstract:

Field pea (Pisum sativum var. arvense L.) is an important legume crop around the world. It produces grains with high protein content and can improve the amount of available nitrogen in the soil. Aphanomyces root rot (ARR), caused by the soil-borne oomycete Aphanomyces euteiches Drechs. (A. euteiches), is a major threat to pea production in many pea-growing regions including Canada; it can cause severe root damage, wilting, and considerable yield losses under wet soil conditions. Traditional disease management strategies, such as crop rotations and seed treatments, cannot fully prevent ARR under conditions conducive for the disease, due to the longevity of the pathogen oospores, which can infect field pea plants at any growth stage. The development of pea cultivars with partial resistance or tolerance to ARR may be a promising approach to analyze the variability and physiologic specialization of A. euteiches in field pea and to improve the management of this disease. As such, the detection of quantitative trait loci (QTL) for resistance is essential to field pea-breeding programs. In this paper, the pathogenic characteristics of A. euteiches are reviewed along with various ARR management strategies and the QTL associated with partial resistance to ARR.

Keywords： Field pea     Aphanomyces euteiches     Root rot     Pathogenicity variability     Quantitative trait loci    

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Chemical Looping Clean Energy Technology Toward a Low-Carbon Future

Zhuo Cheng, Anuj Joshi, Liang-Shih Fa

Engineering 2023, Volume 29, Issue 10,   Pages 42-44 doi: 10.1016/j.eng.2023.08.008

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Multi-objective layout optimization of a satellite module using the Wang-Landau sampling method with local search Project supported by the National Natural Science Foundation of China (Nos. 61373016 and 61403206), the Six Talent Peaks Project of Jiangsu Province, China (No. DZXX-041), the Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions, and the Natural Science Foundation of Jiangsu Province, China (No. BK20141005) Article

Jing-fa LIU,Liang HAO,Gang LI,Yu XUE,Zhao-xia LIU,Juan HUANG

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 6,   Pages 527-542 doi: 10.1631/FITEE.1500292

Abstract: The layout design of satellite modules is considered to be NP-hard. It is not only a complex coupled system design problem but also a special multi-objective optimization problem. The greatest challenge in solving this problem is that the function to be optimized is characterized by a multitude of local minima separated by high-energy barriers. The Wang-Landau (WL) sampling method, which is an improved Monte Carlo method, has been successfully applied to solve many optimization problems. In this paper we use the WL sampling method to optimize the layout of a satellite module. To accelerate the search for a global optimal layout, local search (LS) based on the gradient method is executed once the Monte-Carlo sweep produces a new layout. By combining the WL sampling algorithm, the LS method, and heuristic layout update strategies, a hybrid method called WL-LS is proposed to obtain a final layout scheme. Furthermore, to improve significantly the efficiency of the algorithm, we propose an accurate and fast computational method for the overlapping depth between two objects (such as two rectangular objects, two circular objects, or a rectangular object and a circular object) embedding each other. The rectangular objects are placed orthogonally. We test two instances using first 51 and then 53 objects. For both instances, the proposed WL-LS algorithm outperforms methods in the literature. Numerical results show that the WL-LS algorithm is an effective method for layout optimization of satellite modules.

Keywords： Packing     Layout design     Satellite module     Wang-Landau algorithm    

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Optimization of controlled mechanism based on generalized inverse method

YANG Jin-tang, KONG Jian-yi, XIONG He-gen, JIANG Guo-zhang, LI Gong-fa

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 3,   Pages 288-291 doi: 10.1007/s11465-006-0037-8

Abstract: Based on the mechanical features of the controlled driving component and the characteristics of controlled mechanism of two degrees of freedom, a circle fitting optimization model of controlled mechanism that accurately realizes the multi-point track, has been established. The generalized inverse method for solving compensation movement displacement has been presented.

Keywords： controlled     displacement     multi-point     compensation     optimization    

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A Systematic Approach for Making 3D-Printed Patient-Specific Implants for Craniomaxillofacial Reconstruction Article

Ruxu Du, Yu-Xiong Su, Yu Yan, Wing Shan Choi, Wei-Fa Yang, Chunyu Zhang, Xianshuai Chen, Justin Paul

Engineering 2020, Volume 6, Issue 11,   Pages 1291-1301 doi: 10.1016/j.eng.2020.02.019

Abstract:

Craniomaxillofacial reconstruction implants, which are extensively used in head and neck surgery, are conventionally made in standardized forms. During surgery, the implant must be bended manually to match the anatomy of the individual bones. The bending process is time-consuming, especially for inexperienced surgeons. Moreover, repetitive bending may induce undesirable internal stress concentration, resulting in fatigue under masticatory loading in vivo and causing various complications such as implant fracture, screw loosening, and bone resorption. There have been reports on the use of patient-specific 3D-printed implants for craniomaxillofacial reconstruction, although few reports have considered implant quality. In this paper, we present a systematic approach for making 3D-printed patient-specific surgical implants for craniomaxillofacial reconstruction. The approach consists of three parts: First, an easy-touse design module is developed using Solidworks® software, which helps surgeons to design the implants and the axillary fixtures for surgery. Design engineers can then carry out the detailed design and use finite-element simulation (FEM) to optimize the design. Second, the fabrication process is carried out in three steps: ① testing the quality of the powder; ② setting up the appropriate process parameters and running the 3D printing process; and ③ conducting post-processing treatments (i.e., heat and surface treatments) to ensure the quality and performance of the implant. Third, the operation begins after the final checking of the implant and sterilization. After the surgery, postoperative rehabilitation follow-up can be carried out using our patient tracking software. Following this systematic approach, we have successfully conducted a total of 41 surgical cases. 3D-printed patient-specific implants have a number of advantages; in particular, their use reduces surgery time and shortens patient recovery time. Moreover, the presented approach helps to ensure implant quality.

Keywords： Patient-specific implant     Craniomaxillofacial reconstruction     3D printing     Surgery    

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Title Author Date Type Operation

Insights into carbon-based materials for catalytic dehydrogenation of low-carbon alkanes and ethylbenzene

Journal Article

Formic acid dehydrogenation reaction on high-performance PdAu alloy nanoparticles prepared by the eco-friendly

Journal Article

Effects of ancillary ligands in acceptorless benzyl alcohol dehydrogenation mediated by phosphine-free

Journal Article

Heating energy savings potential from retrofitting old apartments with an advanced double-skin façade

Yeo Beom YOON, Byeongmo SEO, Brian Baewon KOH, Soolyeon CHO

Journal Article

stabilization effect of Al2O3 on unconventional Pb/SiO2 catalyst for propane dehydrogenation

Journal Article

new energy landscape paving heuristic for satellite module layouts

Jing-fa LIU,Juan HUANG,Gang LI,Wen-jie LIU,Ting-zhao GUAN,Liang HAO

Journal Article

Medical oncology management of advanced hepatocellular carcinoma 2019: a reality check

Amy Lee, Fa-Chyi Lee

Journal Article

Anovel resource optimization scheme for multi-cellOFDMArelay network

Ning DU,Fa-sheng LIU

Journal Article

Structural performance of a façade precast concrete sandwich panel enabled by a bar-type basalt fiber-reinforced

Journal Article

SPSSNet: a real-time network for image semantic segmentation

Saqib Mamoon, Muhammad Arslan Manzoor, Fa-en Zhang, Zakir Ali, Jian-feng Lu,saqibmamoon@njust.edu.cn,

Journal Article

Aphanomyces euteiches: A Threat to Canadian Field Pea Production

Longfei Wu,Kan-Fa Chang,Robert L.

Journal Article

Chemical Looping Clean Energy Technology Toward a Low-Carbon Future

Zhuo Cheng, Anuj Joshi, Liang-Shih Fa

Journal Article

Multi-objective layout optimization of a satellite module using the Wang-Landau sampling method with local search Project supported by the National Natural Science Foundation of China (Nos. 61373016 and 61403206), the Six Talent Peaks Project of Jiangsu Province, China (No. DZXX-041), the Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions, and the Natural Science Foundation of Jiangsu Province, China (No. BK20141005)

Jing-fa LIU,Liang HAO,Gang LI,Yu XUE,Zhao-xia LIU,Juan HUANG

Journal Article

Optimization of controlled mechanism based on generalized inverse method

YANG Jin-tang, KONG Jian-yi, XIONG He-gen, JIANG Guo-zhang, LI Gong-fa

Journal Article

A Systematic Approach for Making 3D-Printed Patient-Specific Implants for Craniomaxillofacial Reconstruction

Ruxu Du, Yu-Xiong Su, Yu Yan, Wing Shan Choi, Wei-Fa Yang, Chunyu Zhang, Xianshuai Chen, Justin Paul

Journal Article