Junjie Chen^* , Baofang Liu, Longfei Yan, Deguang Xu

Frontiers in Heat and Mass Transfer, Vol.11, pp. 1-15, 2018, DOI:10.5098/hmt.11.2

Abstract The combustion and emissions characteristics of methane-air mixtures in high-temperature catalytic micro-combustors were studied numerically. Both the heterogeneous and homogeneous chemistry were modeled simultaneously using detailed reaction mechanisms in order to better understand the role of each pathway in determining the product distributions. Computational fluid dynamics simulations were performed at a variety of pressures, temperatures, compositions, and combustor dimensions to determine their effects on the combustion and emissions characteristics. Comparisons were made between the results obtained for a purely heterogeneous case, a purely homogeneous case, and a coupled homogeneousheterogeneous case. It was shown that homogeneous and heterogeneous chemistry take place… More >

M. Vander Haegen, A.-M. Etienne

Psycho-Oncologie, Vol.16, No.4, pp. 343-350, 2022, DOI:10.3166/pson-2022-0218

Abstract Introduction: Studies on worry and distress in parents of a childhood cancer survivor are less developed in the literature. The aim of the study was to examine the intensity of worry and its association with intolerance of uncertainty factor and anxiety–depressive symptoms.
Methods: In total, 61 parents of a childhood cancer survivor (4–6 years of remission) participated in the study. Parents completed several questionnaires assessing worry, intolerance of uncertainty, and anxiety–depressive symptoms.
Results: The majority of parents suffer from anxiety symptoms and intense worries about the health of their childhood cancer survivor. The factor of intolerance of uncertainty seems to… More >

M. Vander Haegen, C. Flahault, K. Lamore

Psycho-Oncologie, Vol.16, No.4, pp. 339-341, 2022, DOI:10.3166/pson-2022-0215

Abstract When cancer strikes a child, parents (and family) find themselves involved at many levels in the trajectory of the disease and treatment. This trajectory of care varies from family to family. For several years, the psycho-medical world has been implementing actions in the field to support parents of a child with cancer or in remission from cancer. As health professionals, we must continue these actions and develop a strong and harmonious partnership with parents because they are the first relays for the medical care of the child.

Résumé Lorsqu’un cancer touche un enfant, les parents (et la famille) se retrouvent… More >

Hawraa S. Mohammed^*, Mahmoud A. Mashkour

FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.9, pp. 2329-2343, 2023, DOI:10.32604/fdmp.2023.026890

Abstract This study considers the effect of Eichhornia Crassipes Biodiesel (ECB) blends on the performances, combustion, and emission characteristics of a direct injection compression ignition engine operated in a dual-fuel mode (DFM) and equipped with an Exhaust gas recirculation technique (EGR). In particular, a single-cylinder, four-stroke, water-cooled diesel engine was utilized and four modes of fuel operation were considered: mode I, the engine operated with an ordinary diesel fuel; mode II, the engine operated with the addition of 2.4 L/min of liquefied petroleum gas (LPG) and 20% EGR; mode III, 20% ECB with 2.4 L/min LPG and 20% EGR; mode IV,… More >

Fadwa Alrowais¹, Jaber S. Alzahrani², Radwa Marzouk¹, Abdullah Mohamed³, Gouse Pasha Mohammed^4,*

CMC-Computers, Materials & Continua, Vol.75, No.3, pp. 6145-6160, 2023, DOI:10.32604/cmc.2023.038300

Abstract Combined Economic and Emission Dispatch (CEED) task forms multi-objective optimization problems to be resolved to minimize emission and fuel costs. The disadvantage of the conventional method is its incapability to avoid falling in local optimal, particularly when handling nonlinear and complex systems. Metaheuristics have recently received considerable attention due to their enhanced capacity to prevent local optimal solutions in addressing all the optimization problems as a black box. Therefore, this paper focuses on the design of an improved sand cat optimization algorithm based CEED (ISCOA-CEED) technique. The ISCOA-CEED technique majorly concentrates on reducing fuel costs and the emission of generation… More >

Kang Xiaofeng¹, Hu Kun^2,*, Ran Li³

Computer Systems Science and Engineering, Vol.46, No.3, pp. 2963-2974, 2023, DOI:10.32604/csse.2023.025908

Abstract Acoustic emission (AE) is a nondestructive real-time monitoring technology, which has been proven to be a valid way of monitoring dynamic damage to materials. The classification and recognition methods of the AE signals of the rotor are mostly focused on machine learning. Considering that the huge success of deep learning technologies, where the Recurrent Neural Network (RNN) has been widely applied to sequential classification tasks and Convolutional Neural Network (CNN) has been widely applied to image recognition tasks. A novel three-streams neural network (TSANN) model is proposed in this paper to deal with fault detection tasks. Based on residual connection… More >

Cun Wei¹, Yunpeng Zhao^2,*, Mingyang Cong¹, Zhigang Zhou^1,*, Jingzan Yan³, Ruixin Wang¹, Zhuoyang Li¹, Jing Liu¹

Energy Engineering, Vol.120, No.6, pp. 1465-1484, 2023, DOI:10.32604/ee.2023.026337

Abstract With increasing renewable energy utilization, the industry needs an accurate tool to select and size renewable energy equipment and evaluate the corresponding renewable energy plans. This study aims to bring new insights into sustainable and energy-efficient urban planning by developing a practical method for optimizing the production of renewable energy and carbon emission in urban areas. First, we provide a detailed formulation to calculate the renewable energy demand based on total energy demand. Second, we construct a dual-objective optimization model that represents the life cycle cost and carbon emission of renewable energy systems, after which we apply the differential evolution… More >

Xing Zhou^1,2,5,6,*, Qi Wang¹, Sai Feng¹, Jingrui Deng¹, Keming Zhu¹, Yun Xing^1,3, Xiaolian Meng³, Xiaojun Wang⁴, Lu Li^5,6

Journal of Renewable Materials, Vol.11, No.5, pp. 2085-2108, 2023, DOI:10.32604/jrm.2023.025032

Abstract Greenhouse gas emissions from waste plastics have caused global warming all over the world, which has been a central threat to the ecological environment for humans, flora and fauna. Among waste plastics, waste polyethylene terephthalate (PET) is attractive due to its excellent stability and degradation-resistant. Therefore, merging China’s carbon peak and carbon neutrality goals would be beneficial. In this review, we summarize the current state-of-the-art of carbon emission decrease from a multi-scale perspective technologically. We suggest that the carbon peak for waste PET can be achieved by employing the closed-loop supply chain, including recycling, biomass utilization, carbon capture and utilization.… More > Graphic Abstract

Mohsen Sharifpur^1,2, Mohamed Salem³, Yonis M Buswig⁴, Habib Forootan Fard⁵, Jaroon Rungamornrat^6,*

CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 5679-5690, 2023, DOI:10.32604/cmc.2023.034726

Abstract Residential sector is one of the energy-consuming districts of countries that causes CO₂ emission in large extent. In this regard, this sector must be considered in energy policy making related to the reduction of emission of CO₂ and other greenhouse gases. In the present work, CO₂ emission related to the residential sector of three countries, including Indonesia, Thailand, and Vietnam in Southeast Asia, are discussed and modeled by employing Group Method of Data Handling (GMDH) and Multilayer Perceptron (MLP) neural networks as powerful intelligent methods. Prior to modeling, data related to the energy consumption of these countries are represented, discussed,… More >

Wenfeng Hao^1,*, Hao Hao², Humaira Kanwal², Shiping Jiang^2,*

Journal of Renewable Materials, Vol.11, No.4, pp. 1687-1697, 2023, DOI:10.32604/jrm.2022.023795

Abstract Microcapsule self-healing technology is one of the effective methods to solve the durability problem of cement-based composites. The evaluation method of the self-healing efficiency of microcapsule self-healing cement-based composites is one of the difficulties that limits the self-healing technology. This paper attempts to characterize the self-healing efficiency of microcapsule self-healing cement-based composites by acoustic emission (AE) parameters, which provides a reference for the evaluation of microcapsule self-healing technology. Firstly, a kind of self-healing microcapsules were prepared, and the microcapsules were added into the cement-based composites to prepare the compression samples. Then, the specimen with certain pre damage was obtained by… More >