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1.Special issue on computational intelligence for social media data mining and knowledge discovery

Author:Li, Y;Shyamasundar, RK;Wang, XH






3.A history of design institutes in China: from Mao to market

Author:Han, JW


4.The formation of binary star clusters in the Milky Way and Large Magellanic Cloud

Author:Darma, R;Arifyanto, MI;Kouwenhoven, MBN


Abstract:Recent observations of young embedded clumpy clusters and statistical identifications of binary star clusters have provided new insights into the formation process and subsequent dynamical evolution of star clusters. The early dynamical evolution of clumpy stellar structures provides the conditions for the origin of binary star clusters. Here, we carry out N-body simulations in order to investigate the formation of binary star clusters in the MilkyWay and in the Large Magellanic Cloud (LMC). We find that binary star clusters can form from stellar aggregates with a variety of initial conditions. For a given initial virial ratio, a higher degree of initial substructure results in a higher fraction of binary star clusters. The number of binary star clusters decreases over time due to merging or dissolution of the binary system. Typically, similar to 45 per cent of the aggregates evolve into binary/multiple clusters within t = 20 Myr in the Milky Way environment, while merely similar to 30 per cent survives beyond t = 50 Myr, with separations <= 50 pc. On the other hand, in the LMC, similar to 90 per cent of the binary/multiple clusters survive beyond t = 20 Myr and the fraction decreases to similar to 80 per cent at t = 50 Myr, with separations less than or similar to 35 pc. Multiple clusters are also rapidly formed for highly substructured and expanding clusters. The additional components tend to detach and the remaining binary star cluster merges. The merging process can produce fast rotating star clusters with mostly flat rotation curves that speed up in the outskirts.

5.Micro-Cracks Identification and Characterization on the Sheds of Composite Insulators by Fractal Dimension

Author:Jin, H;Lv, ZK;Yuan, ZK;Wei, ZX;Wang, C;Wang, C;Tu, YP;Li, F;Chen, T;Xiao, P


Abstract:The phenomenon of micro-cracks on the sheds is due to aging of the composite insulator. With the development of the Unmanned Aerial Vehicle (UAV) technology, the online aging characterization based on micro-cracks turns out to be a reality. In this article, the micro-cracks identification and characterization on the sheds of composite insulators based on visible spectrum image was studied. At first, the shed area was segmented after graying and binarization operation. Then, the Laplace of Gaussian (LoG) operator and Otsu algorithm were used to extract the texture of micro-cracks. Box-counting method was used to calculate the fractal dimension of the micro-cracks on the composite insulator shed. The index of fractal dimension, a number between 1 and 2, can be used to describe the roughness and density of fractal dimension. The higher the fractal dimension was, the more severe the micro-cracks would be. The experimental results proved that the method proposed was feasible and effective on micro-cracks identification and characterization.

7.Minimum and Maximum Principle Sufficiency for a Nonsmooth Variational Inequality

Author:Wu, ZL;Lu, Y


Abstract:In this paper, the minimum and maximum principle sufficiency properties for a nonsmooth variational inequality problem (NVIP) are studied. We discuss the relationship among the solution set of an NVIP and those defined by its dual problem and relevant gap functions. For a pseudomonotone NVIP, the weaker sharpness of its solution set has been shown to be sufficient for it to have minimum principle sufficiency property. As special cases, pseudomonotonicity(*) and pseudomonotonicity(+) of the relevant bifunction have been characterized, from which the minimum and maximum principle sufficiency properties have also been characterized.

8.The Long-term Evolution of Main-sequence Binaries in DRAGON Simulations

Author:Shu, Q;Pang, XY;Dotti, FF;Kouwenhoven, MBN;Sedda, MA;Spurzem, R


Abstract:We present a comprehensive investigation of main-sequence binaries in the DRAGON simulations, which are the first one-million-particle direct N-body simulations of globular clusters. We analyze the orbital parameters of the binary samples in two of the DRAGON simulations, D1-R7-IMF93 and D2-R7-IMF01, focusing on their secular evolution and correlations up to 12 Gyr. These two models have different initial stellar mass functions: Kroupa 1993 (D1-R7-IMF93) and Kroupa 2001 (D2-R7-IMF01); and different initial mass-ratio distributions: random paring (D1-R7-IMF93) and a power law (D1-R7-IMF93). In general, the mass ratio of a population of binaries increases over time due to stellar evolution, which is less significant in D2-R7-IMF01. In D1-R7-IMF93, primordial binaries with a mass ratio q 0.2 are most common, and the frequency linearly declines with increasing q at all times. Dynamical binaries of both models have higher eccentricities and larger semimajor axes than primordial binaries. They are preferentially located in the inner part of the star cluster. Secular evolution of binary orbital parameters does not depend on the initial mass-ratio distribution, but is sensitive to the initial binary distribution of the system. At t = 12 Gyr, the binary fraction decreases radially outwards, and mass segregation is present. A color difference of 0.1 mag in F330W - F814W and 0.2 mag in NUV - y between the core and the outskirts of both clusters is seen, which is a reflection of the binary radial distribution and the mass segregation in the cluster. The complete set of data for primordial and dynamical binary systems at all snapshot intervals is made publicly available.

9.Investigation of outdoor air pollutant, PM2.5 affecting the indoor air quality in a high-rise building

Author:Fu, ND;Kim, MK;Chen, B;Sharples, S


Abstract:This study investigated the impact of outdoor air pollutants on indoor air quality in a high-rise building, considering factors related to the seasons and air infiltration. Further, the impact of atmospheric weather conditions on air infiltration has been analysed in a downtown area of Suzhou, China. The influence of the outdoor air pollution rate on indoor air quality in the office building was investigated based on on-site measurements and computer simulations. Results showed that the impact of outdoor air pollutants on indoor air quality was highest in winter, followed by spring, autumn and summer. Furthermore, multiple factors, which affect the indoor air quality in a high-rise building, have been further investigated in this study, including stack effect, wind effect, infiltration rate, outdoor air pollution rate, seasonal change and air filter efficiency. The significant influence of these factors on the indoor air quality level with floor height variations has been verified. Based on the analysis, a high-efficiency filter is recommended to maintain healthy indoor air quality. Meanwhile, a double-filter system is required if a building is exposed to heavily polluted outdoor air considering the most substantial impact of outdoor air pollutants on indoor air quality in winter. Moreover, a numerical model of steady-state indoor PM2.5 concentration was established to determine the suitable air filter efficiency and airtightness.

10.Post-Structural Theories and Chinese Feminist Criticism: On the Theorization of Women’s \"Subjectivity\" in the Cultural Studies of Socialist China


Source:Theoretical Studies in Literature and Art,2021,Vol.41

Abstract:Centering on the conceptualization of "subjectivity," ths article first traces the post-structural theories' impact on as well as their compex relationshp with Western feminsm. It then expores the development of the theorization of " womens subjectivity" n academic research on Chnese women and gender dscourses in socialist Chna from the 1980s. By examinng the appication of three influential theorists, Lous Althuser, Michel Foucault, and Judth Butler, n the Chnese context, ths article ntends to show the compex genealogy of "appropriating" post-structural theories for dfferent agendas of contemporary Chnese feminst criticism. Some scholars ntegrated post-structural deas nto iberal-humanst dscourses; some employed post-structuralist feminism to de-essentialize and hstoricize the analysis of "subjectivity" and "agency" of socialist Chnese women; some questioned the effectiveness of post-structural theories n studying the Chnese socialist culture from the perspective of hstorical materialism. Different research paradgms of theorizing " female subjectivity" have proven to be influenced and nformed by the changing deologies and social dscourses in Chna since the 1980s.

11.Kernel-lasso feature expansion method: Boosting the prediction ability of machine learning in heart attack


Source:Journal of Physics: Conference Series,2021,Vol.1955

Abstract:Heart attack needs to cause a high degree in modern society, which is now at the top of the list of most common diseases. One-third of all deaths in the world are caused by heart disease, and in our country, hundreds of thousands of people die of heart disease every year. If people can predict heart attack at an early period, they may prevent and cure the potential risk. Therefore, one novel and efficient prediction model is needed. Based on machine learning, we design one novel method in feature selection called kernel-lasso feature expansion to increase the prediction ability. This method considers the potential influence by the curse of dimension and lack of features, which can increase the dimension of the existed data and select the effective features by lasso regression. Compared with other feature selection methods such as Lasso and step regression, the novel method increases the predicted ability of gradient boosting machine, DNN, and SVM models, while SVM with kernel-lasso feature expansion achieves the best performances in Accuracy (0.84(%%95Cl:0.78-0.89)).

12.A Comparative Study of Void Deck in Suzhou Industrial Park and Singapore

Author:HAN Jiawen;WANG Han

Source:Community Design,2021,Vol.


13.Graphene oxide/PVC composite papers functionalized with p-Phenylenediamine as high-performance sorbent for the removal of heavy metal ions

Author:Khan, Zaheen Ullah ; Khan, Wasid Ullah ; Ullah, Bakhtar ; Ali, Wajid ; Ahmad, Bilal ; Yap, Pow-Seng

Source:Journal of Environmental Chemical Engineering,2021,Vol.9

Abstract:Due to the rapid industrialization, heavy metals contamination in the aquatic environment has become more serious. Thus, it is urgent to develop enhanced removal technology for heavy metals. Graphene oxide (GO) based composite paper-like materials have been widely applied for adsorption of heavy metals from wastewater. Herein, we fabricated for the first time an advanced, highly-ordered and homogenous PVC/PPD/GO paper-like material using a resin-infiltration technique. This process is complimentary to layer-by-layer assembly, where the assembling components are required to interact strongly (e.g., via hydrogen bonding or electrostatic attraction). The results showed that the composite papers could achieve high removal efficiency of the heavy metals from water. The amount of Pb(II) adsorbed at equilibrium as achieved by GO, PVC/GO-0.05, PVC/GO-0.08, PVC/PPD/GO-0.05 and PVC/PPD/GO-0.08 buckypapers were 17.61, 22.17, 25.41, 33.57 and 44.80 mg g−1, respectively. In addition, the effects of experimental factors (e.g. GO content, ionic strength of heavy metal ions, temperature and solution pH) on heavy metal adsorption were discussed. Furthermore, the as-prepared PVC/PPD/GO-0.08 composite papers exhibited superior stability and could be recycled more than 900 h based on their 15 regeneration cycles. The improved heavy metal removal efficiency was attributed to the enhanced morphology and the formation of micro- and nano-channels created by the entangled PPD/GO. The findings indicated that the PVC/PPD/GO composite buckypapers could be used as promising materials for the adsorption of heavy metals from wastewater. © 2021 Elsevier Ltd

14.Experimental Study of Smooth Asymmetric Compound Channels Flow: An Investigation of the Interaction of Flow Using Scaling Argument for Prediction of Overall Discharge


Source:IOP Conference Series: Earth and Environmental Science,2021,Vol.668

Abstract:A simple model for the apparent shear stress on the vertical interface between the floodplain and main channel in asymmetric smooth compound channels is proposed using experimental data obtained in this study. The turbulent structure, including Reynolds shear stress in asymmetric compound channel flows, is investigated for three different flow depths. The lateral distribution of the apparent shear stress obtained shows that the total apparent shear stress has a negative peak near the junction edge in the main channel. Furthermore, the intensity of the advection terms and the Reynold shear stress near the interface are investigated as the function of the bankfull height and floodplain width. The momentum transport due to Reynolds stress and secondary current between main channel and floodplain is finally modeled as depth ratio using scaling argument. The validation of the current model on three datasets shows an accurate prediction of overall discharge for the asymmetric smooth compound channels.

15.Exploiting textual queries for dynamically visual disambiguation

Author:Sun, ZR;Yao, YZ;Xiao, JM;Zhang, L;Zhang, J;Tang, ZM


Abstract:Due to the high cost of manual annotation, learning directly from the web has attracted broad attention. One issue that limits the performance of current webly supervised models is the problem of visual poly-semy. In this work, we present a novel framework that resolves visual polysemy by dynamically matching candidate text queries with retrieved images. Specifically, our proposed framework includes three major steps: we first discover and then dynamically select the text queries according to the keyword-based image search results, we employ the proposed saliency-guided deep multi-instance learning (MIL) network to remove outliers and learn classification models for visual disambiguation. Compared to existing methods, our proposed approach can figure out the right visual senses, adapt to dynamic changes in the search results, remove outliers, and jointly learn the classification models. Extensive experiments and ablation studies on CMU-Poly-30 and MIT-ISD datasets demonstrate the effectiveness of our proposed approach. (c) 2020 Elsevier Ltd. All rights reserved.

16.Cortisol level dysregulation and its prevalence-Is it nature's alarm clock?

Author:Jones, C;Gwenin, C


Abstract:This review examines the stress hormone cortisol which plays an important role in regulating and supporting different bodily functions. Disruption in cortisol production has an impact on health and this review looks at a wide range of papers where cortisol has been indicated as a factor in numerous chronic conditions-especially those which are classed as "noncommunicable diseases" (NCDs). Timely detection, screening, and treatment for NCDs are vital to address the growing problem of NCDs worldwide-this would have health and socioeconomic benefits. Interestingly, many of the papers highlight the pro-inflammatory consequences of cortisol dysregulation and its deleterious effects on the body. This is particularly relevant given the recent findings concerning COVID-19 where pro-inflammatory cytokines have been implicated in severe inflammation.

17.Orthonormal shifted discrete Chebyshev polynomials: Application for a fractal-fractional version of the coupled Schrodinger-Boussinesq system

Author:Heydari, MH;Razzaghi, M;Avazzadeh, Z


Abstract:In this paper, a novel fractal-fractional derivative operator with Mittag-Leffler function as its kernel is introduced. Using this differentiation, the fractal-fractional model of the coupled nonlinear SchrodingerBoussinesq system is defined. The orthonormal shifted discrete Chebyshev polynomials are generated and used for constructing a computational matrix method to solve the defined system. In the established method, using the matrices of the ordinary and fractal-fractional differentiations of these polynomials, the fractal-fractional system transformed into a system of algebraic equations, which is solved readily. Practicability and precision of the method are examined by solving two numerical examples. (c) 2020 Elsevier Ltd. All rights reserved.

18.Embracing integrated watershed revitalization in Suzhou, China: learning from global case studies

Author:Kim, JS;Batey, PWJ;Fan, YT;Zhong, S


Abstract:Suzhou is China's historic water town, and a sustainable approach to watershed revitalization is firmly on the agenda. The practice of integrated watershed management requires collaborative planning involving a significant number of stakeholders; no single organization can solve the problems of ecosystem management unilaterally. The changing social-political environment in China has led to the development of a new form of governance. China is in transition from the traditional government image of a regulator and a controller towards an enabler that facilitates provision and action by, and through, others. Global case studies show that sustainability issues are essential to tackling watershed ecosystem management by creating a win-win strategy for wider stakeholders. Viewed from an institutional perspective, the emergence of a new collaborative partnership model requires a different implementation process to tackle practical problems in the face of complex watershed agendas. Drawing upon global and China's experiences, the paper concludes that some planning processes require government leadership continuity, while others need bottom-up approaches.

19.Combined effects of seasonality and stagnation on tap water quality: Changes in chemical parameters, metabolic activity and co-existence in bacterial community

Author:Zhang, HH;Xu, L;Huang, TL;Yan, MM;Liu, KW;Miao, YT;He, HY;Li, SL;Sekar, R


Abstract:In drinking water distribution pipeline systems, the tap water quality is regulated by several biotic and abiotic factors, which can threaten the health of consumers. Stagnation is inevitable in the water distribution pipeline however, the combined effects of seasonal changes and stagnation on tap water quality are not well understood. Here, we investigated the seasonal variations in the chemical and biological quality of water after overnight stagnation for a period of one year. The results showed that the tap water quality deteriorated after overnight stagnation, with up to a 2.7-fold increase in the total iron concentrations. The total bacterial cell concentrations increased by 59-231%% after overnight stagnation. The total cell and cell-bound adenosine triphosphate (ATP) of the stagnant water samples peaked in summer. In addition, Biolog analysis showed that the metabolic activities of microbes were higher in spring. The bacterial community based on Illumina Miseq DNA sequence analysis found that Proteobacteria dominated the drinking water bacterial community. The bacterial community structure varied significantly among different seasons, where the diversity and richness of the community were much higher in spring. Structural equation modeling (SEM) was constructed to determine the correlations between bacterial metabolic functions and the community structure. The redundancy analysis (RDA) indicated that the residual chlorine played a critical role in the construction of the bacterial community. Altogether, the overall findings from the present work provide novel insights into how the quality of tap water quality impacted by the seasonal changes and overnight stagnation.

20.Optimal control of hyperthermia thermal damage based on tumor configuration

Author:Roohi, R;Heydari, MH;Avazzadeh, Z

Source:RESULTS IN PHYSICS,2021,Vol.23

Abstract:Improvement and optimization of hyperthermia as one of the most effective and conventional cancer treatments have been tackled by many researchers in recent years. The main benchmark for hyperthermia treatment is to elevate the cancerous tissue temperature to a specified level to initiate damage or ablation and simultaneously to prevent any irreversible thermal damage to the surrounding healthy cells. Therefore, the heat source pattern for hyperthermia treatment should be adjusted according to the distribution of cancerous cells. To do this, in the present study the fractional bioheat equation with unknown heat source term is implemented. Two different hyperthermia scenarios with single and dual tumors are considered and the appropriate damage level at both healthy and cancerous tissues is planned according to the Arrhenius model. Moreover, the optimal control criterion is set to simultaneously produce the goal temperature level and minimize the thermal power consumption. The mentioned task is accomplished by the definition of a priority coefficient as a weight function which determines whether the establishment of desired thermal field or the reduction of applied thermal power is more important. Based on the results, the optimal control approach can precisely determine the heat source distribution for single and dual tumor cases (with 1.03 and 0.13%% deviation error, respectively). Whereas, by shifting the priority to the minimization of applied energy, up to 23.1 and 38.7%% deviation is observed in formation of the desired temperature field (while the overall cost function is minimized). In order to investigate the numerical results, a computational method based on the Legendre cardinal functions is proposed. The main advantage of the proposed method is that it transforms solving such fractional models into solving systems of algebraic equations which greatly simplify the problem.
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