• Economic development and construction safety research: a bibliometrics approach

      Luo, Fansong; Li, Rita Yi Man; Crabbe, M. James C.; Pu, Ruihui; Hong Kong Shue Yan University; Oxford University; University of Bedfordshire; Shanxi University; Srinakharinwirot University (Elsevier, 2021-10-14)
      The construction industry contributes significantly to economic development worldwide, yet it is one of the most hazardous industries where numerous accidents and fatalities happen every year. Little research to date has shed light on the impact of economic development on construction safety research. In this paper, we conduct an analysis of construction safety articles published in the 21st century via a bibliometrics approach. We have analysed: (1) construction safety in developed and developing countries; (2) the major organisations that have conducted construction safety research; (3) authors and territories of the research and (4) topics in construction safety and future research directions. The largest number of published construction safety documents were published by scholars from the US and China; the total number of published articles by these two countries was 1,125, at 56% of the 2000 articles that were published. Both countries showed high levels of research collaboration. While our results suggest that economic development may drive academic construction safety research, there has been an increase in construction safety research conducted by developing countries in recent years, probably due to an improvement in their economic development. While authors’ keywords evidenced the popularity of research on safety management and climate, the network analysis on all keywords, i.e. keywords given by Web of Science and authors, suggest that construction safety research focused on three areas: construction safety management, the relationship between people and construction safety, and the protection and health of workers’ impact on construction safety. We found that there is a new interdisciplinary research trend where construction safety combines with digital technologies, with the largest number involving deep learning. Other trends focus on machine learning, Building Information Modelling, machine learning and visualisation.
    • Editorial for the 8th bibliometric-enhanced information retrieval workshop at ECIR 2019

      Cabanac, Guillaume; Frommholz, Ingo; Mayr, Philipp (CEUR-WS, 2019-12-31)
      The Bibliometric-enhanced Information Retrieval workshop series (BIR) at ECIR tackles issues related to academic search, at the crossroads between Information Retrieval and Bibliometrics. BIR is a hot topic investigated by both academia (e.g., ArnetMiner, CiteSeerχ, DocEar) and the industry (e.g., Google Scholar, Microsoft Academic Search, Semantic Scholar). This editorial presents the 8th iteration of the one-day BIR workshop held at ECIR 2019 in Cologne, Germany.
    • Editorial: Recent advances in 2020 2nd International Symposium on Big Data and Artificial Intelligence

      Crabbe, M. James C.; Li, Rita Yi Man; Dong, Rebecca Kechen; Manta, Otilia; Comite, Ubaldo; Oxford University; Hong Kong Shue Yan University; University of South Australia; Romanian-American University; University Giustino Fortunato (Association for Computing Machinery., 2021-01-16)
      The 2020 2nd International Symposium on Big Data and Artificial Intelligence was held in Johannesburg, South Africa, from October 15 - 16, 2020. It was organized by IETI, IDSAI, the University of Johannesburg (South Africa) and JRFM, with joint support from the Real Estate and Economics Research Lab of Hong Kong Shue Yan University, the Sustainable Real Estate Research Center of Hong Kong Shue Yan University, Shandong University of Finance and Economics (Mainland China), Guilin University of Technology (Mainland China), IAOE (Austria), the Department of Sport and Physical Education of Hong Kong Baptist University, Rattanakosin International College of Creative Entrepreneurship of Rajamangala University of Technology Rattanakosin (Thailand), Algebra University College (Croatia), and the Center for Financial and Monetary Research of Romanian Academy (Romania), University Giustino Fortunato (Italy). ISBDAI is there to discuss the challenges and possible solutions to these important issues. The conference focused on Artificial Intelligence, Computer Science, Cloud Computing, Big Data, the Internet of Things and the Mobile Web. The participants and speakers were from many countries and universities, including Mainland China, Hong Kong, Thailand, Romania, Italy, Singapore, Austria, Croatia, Australia, UK, Congo King, Portugal and Cyprus. The conference received a record 505 submissions, with 115 papers accepted for presentation. Positive recommendations of at least two reviewers were considered by the conference committees for acceptance of manuscripts. The Editors express a special gratitude to all the Committee Members and ACM-ICPS, who worked so speedily, efficiently, and professionally in support of the conference. Finally, on behalf of the Organizing Committee, we would like to thank all the authors, speakers, and participants for contributing to the success of ISBDAI 2020.
    • Effect of AFM nanoindentation loading rate on the characterization of mechanical properties of vascular endothelial cell

      Wang, Lei; Tian, Liguo; Zhang, Wenxiao; Wang, Zuobin; Liu, Xianping (MDPI, 2020-05-31)
      Vascular endothelial cells form a barrier that blocks the delivery of drugs entering into brain tissue for central nervous system disease treatment. The mechanical responses of vascular endothelial cells play a key role in the progress of drugs passing through the blood-brain barrier. Although nanoindentation experiment by using AFM (Atomic Force Microscopy) has been widely used to investigate the mechanical properties of cells, the particular mechanism that determines the mechanical response of vascular endothelial cells is still poorly understood. In order to overcome this limitation, nanoindentation experiments were performed at different loading rates during the ramp stage to investigate the loading rate effect on the characterization of the mechanical properties of bEnd.3 cells (mouse brain endothelial cell line). Inverse finite element analysis was implemented to determine the mechanical properties of bEnd.3 cells. The loading rate effect appears to be more significant in short-term peak force than that in long-term force. A higher loading rate results in a larger value of elastic modulus of bEnd.3 cells, while some mechanical parameters show ambiguous regulation to the variation of indentation rate. This study provides new insights into the mechanical responses of vascular endothelial cells, which is important for a deeper understanding of the cell mechanobiological mechanism in the blood-brain barrier.
    • Effect of extract from ginseng rust rot on the inhibition of human hepatocellular carcinoma cells in vitro

      Hu, Jing; Jiao, Jie; Wang, Ying; Gao, Mingyan; Lu, Zhengcheng; Yang, Fan; Hu, Cuihua; Song, Zhengxun; Chen, Yujuan; Wang, Zuobin; et al. (ELSEVIER, 2019-07-02)
      Hepatocellular carcinoma (HCC) is one of major leading causes of cancer death worldwide. As a traditional medicine, the anti-cancer function of ginseng is being growingly recognized and investigated. However, the effect of ginseng rust rot on human HCC is unknown yet. In this study, the HCC cells were treated with different parts of mountain cultivated ginseng rust rot and compared with human normal liver cells. The morphology, survival rate and β-actin expression of the cells were changed by introducing the ginseng epidermis during the incubation process. Notably, the results reveal that the ginseng epidermis can induce apoptosis by altering the morphologies of cells, indicating the practical implication for the HCC treatment and drug development.
    • Effect of liquid on the magnetic force microscope imaging

      Liu, Jinyun; Song, Zhengxun; Wang, Zuobin; Qiu, Renxi; Li, Dayou; Changchun University of Science and Technology; University of Bedfordshire (Institute of Electrical and Electronics Engineers Inc., 2018-02-08)
      It is known that when the probe vibrating in liquid, the oscillation of the cantilever is significantly damped by the interaction forces between the water molecule and the probe surface, which is known as the hydration force. Thus, the parameters of a tapping magnetic probe are affected. In this work, the resonant frequency, Q-factor and spring constant of the magnetic probe in air and liquid environments were analyzed. The MFM images of a hard disk acquired in ambient and liquid conditions were compared. It was found that the hydration force affected the parameters of the magnetic probe and then the quality of the MFM images was decreased. To improve the quality of the magnetic images, the drive amplitude and the lift height were adjusted. The results showed that the magnetic features were recognized with the increases of the drive amplitude and the appropriate lift height.
    • Effect of the elliptic rods orientations on the asymmetric light transmission in photonic crystals

      Soltani, A.; Ouerghi, F.; AbdelMalek, Fathi; Haxha, Shyqyri; Ademgil, Huseyin; Akowuah, Emmanuel K.; El-Manar University, Tunisia; University of Bedfordshire; European University of Lefke, Turkey; Kwame Nkrumah University of Science and Technology, Ghana (Elsevier, 2017-02-03)
      In this work, we report a novel design of a photonic crystal utilizing elliptic rods. The two-dimensional (2D) photonic crystal consists of an asymmetric distribution of unit cells to ensure the one-way transmission of light. Analysis performed indicated that the orientation of the ellipse along the major and minor axis has an influence on the shift of the transmission. In particular, this results in shift of the transmission towards high frequencies and subsequent oscillation of its magnitude. The peak of the transmission band was also found to be strongly influenced by the orientation angle, θ. It has been demonstrated that the strong asymmetric propagation properties of the proposed photonic crystal structure enables the switching of incident light from one direction to another. The proposed structure may be applied as a building block to integrated photonics applications.
    • Effect of trypsin concentration on living SMCC-7721 cells studied by atomic force microscopy

      Yan, Jin; Xie, Chenchen; Zhu, Jiajing; Song, Zhengxun; Wang, Zuobin; Li, Li (Wiley, 2021-08-05)
      Trypsin is playing an important role in the processes of cancer proliferation, invasion, and metastasis which require the precise information of morphology and mechanical properties on the nanoscale for the related research. In this work, living human hepatoma (SMCC-7721) cells were treated with different concentrations of trypsin solution. The morphology and mechanical properties of the cells were measured via atomic force microscope (AFM). Statistical analyses of measurement data indicated that with the increase of trypsin concentration, the average cell height and the surface roughness were both increased, but the cell viability, the cell surface adhesion and the elasticity modulus were decreased significantly. The force required to puncture the cells was also gradually reduced. It indicates that trypsin not only hydrolyzes the proteins between the cell and the substrate but also the membrane proteins. The results offer valuable clues for the cancerous process study, pathological analysis, and trypsin inhibitor drug development. And this work provides an effective way for overcoming the cell membrane in drug injection for cell-targeted therapy. This article is protected by copyright. All rights reserved.
    • Effective intensity distributions used for direct laser interference exposure

      Xu, Jia; Wang, Zuobin; Zhang, Ziang; Wang, Dapeng; Weng, Zhankun; Chinese Academy of Sciences; Changchun University of Science and Technology; University of Bedfordshire (Royal Society of Chemistry, 2015-06-12)
      This paper presents a method to obtain periodic structures with different feature shapes using direct laser interference lithography. In the method, the desired structures are produced by controlling the effective intensity distributions of interference patterns during the exposure process. The effective intensity distributions are adjusted by changing the exposure beam intensity based on the material modification thresholds. In the simulations and experiments, different exposure intensities were used to study the interactions between the effective intensity distributions and the materials, and direct four- and six-beam laser interference lithography systems were set up to pattern silicon wafers. The shapes and sizes of the fabricated surface structures changed with the effective intensities. The experimental results are in accordance with the theoretical models and simulations.
    • Effective methods to detect metamorphic malware: a systematic review

      Irshad, Mustafa; al-Khateeb, Haider; Mansour, Ali; Ashawa, Moses; Hamisu, Muhammad; University of Bedfordshire (Inderscience, 2018-04-12)
      The succeeding code for metamorphic malware is routinely rewritten to remain stealthy and undetected within infected environments. This characteristic is maintained by means of encryption and decryption methods, obfuscation through garbage code insertion, code transformation and registry modification which makes detection very challenging. The main objective of this study is to contribute an evidence-based narrative demonstrating the effectiveness of recent proposals. 16 primary studies were included in this analysis based on a pre-defined protocol. The majority of the reviewed detection methods used Opcode, control flow graph (CFG) and API call graph. Key challenges facing the detection of metamorphic malware include code obfuscation, lack of dynamic capabilities to analyse code and application difficulty. Methods were further analysed on the basis of their approach, limitation, empirical evidence and key parameters such as dataset, detection rate (DR) and false positive rate (FPR).
    • Effective ways to use Internet of Things in the field of medical and smart health care

      Ullah, Kaleem; Shah, Munam Ali; Zhang, Sijing; COMSATS Institute of Information Technology; University of Bedfordshire (Institute of Electrical and Electronics Engineers Inc., 2016-05-23)
      The recent advancements in technology and the availability of the Internet make it possible to connect various devices that can communicate with each other and share data. The Internet of Things (IoT) is a new concept that allows users to connect various sensors and smart devices to collect real-time data from the environment. However, it has been observed that a comprehensive platform is still missing in the e-Health and m-Health architectures to use smartphone sensors to sense and transmit important data related to a patient's health. In this paper, our contribution is twofold. Firstly, we critically evaluate the existing literature, which discusses the effective ways to deploy IoT in the field of medical and smart health care. Secondly, we propose a new semantic model for patients' e-Health. The proposed model named as 'k-Healthcare' makes use of 4 layers; the sensor layer, the network layer, the Internet layer and the services layer. All layers cooperate with each other effectively and efficiently to provide a platform for accessing patients' health data using smart phones.
    • Effects of AC/DC electric fields on stretching DNA molecules

      Wang, Ying; Gao, Mingyan; Qu, Yingmin; Hu, Jun; Xie, Ying; Liu, Ziyu; Song, Zhengxun; Xu, Hongmei; Weng, Zhankun; Wang, Zuobin (World Scientific Publishing Co. Pte Ltd, 2020-05-01)
      The effects of AC/DC electric fields on stretching DNA molecules were discussed in this work. In the experiments of stretching DNA molecules with AC/DC electric fields, the voltage range was changed from 0V to 10V, and the frequency of AC electric field was kept at 50kHz. An atomic force microscope (AFM) was used to obtain DNA distributions under different electric fields. DNA molecules were curved and randomly distributed in solution if there was not any force applied to them. When an AC electric field was applied to the DNA sample, the curvature of DNA molecules was decreased gradually, and the stretching result was more obvious with the increase of voltage from 0.1V to 5V. The DNA molecules were broken when the voltage was increased to 6V. However, under the DC electric field, the stretching result of DNA molecules reached to their optimum state when the voltage was 2V, and they kept their steady state even though larger electric field intensities applied to the electrodes. The results can be used for the study of DNA-DNA, protein-DNA and quantum dot-DNA interactions and for the exploration of DNA biophysical properties.
    • Effects of alternating electric field on the imaging of DNA double-helix structure by atomic force microscope

      Wang, Ying; Ma, Ke; Wang, Jiajia; Li, Li; Liu, Ziyu; Hu, Jing; Gao, Mingyan; Wang, Zuobin (Springer, 2020-07-22)
      The effects of alternating electric field on the imaging of DNA double-helix structure were explored by atomic force microscope (AFM). First, the DNA sample was located under an alternating electric field in a fixed direction and dried. Then, AFM was used to obtain the DNA images under different alternating electric fields with the voltage range from 0.5 to 6.0 V and the frequency of 50 kHz. Thus, the DNA double-helix structures with different extensions were observed when the DNA molecules were gradually stretched under different field intensities. The distributions of DNA molecules in solution were random if there were no external forces, and the curved DNA molecules were observed in the AFM image. With the increase in alternating electric voltage (0.5–4.0 V), the DNA structure was shifted from random to oriented conformation and the DNA grooves were further unfolded. While the higher voltage (5.0–6.0 V) resulted in the rupture of DNA chains due to the excessive stretching force. It showed that the optimal voltage was 1.0 V, and the double-helix structure was observed. This method provides an efficient way for monitoring and measuring bio-macromolecules. It may also enable the exploration of the DNA–protein binding and DNA molecular self-assembly processes.
    • Effects of azimuthal angles on laser interference lithography

      Zhang, Jinjin; Wang, Zuobin; Di, Xu; Zhao, Le; Wang, Dapeng; ; Changchun University of Science and Technology; University of Bedfordshire (OSA - The Optical Society, 2014-12-31)
      This paper discusses the effects of azimuthal angles on two-, three-, and four-beam laser interference. In two- or three-beam laser interference, periodic surface structures of lines or dots were obtained. In fourbeam laser interference with the polarization mode of TE-TM-TE-TM, the modulation in a particular direction was formed and calculated. In the work, a He-Ne laser system was used to simulate two-, three-, and four-beam laser interference, and the interference pattern was detected by a CCD. A high-power Nd:YAG laser interference lithography system was set up to pattern silicon wafers. In the experiments, one azimuthal angle was changed every time to form interference patterns when polarization states were fixed and incident angles were equal. The experimental results have shown that the azimuthal angle affects the periods and feature sizes of the interference patterns and the fabricated surface structures, which are in accordance with the theoretical and computer simulation results.
    • Effects of foraging in personalized content-based image recommendation

      Jaiswal, Amit Kumar; Liu, Haiming; Frommholz, Ingo; University of Bedfordshire (arXiv, 2019-06-30)
      A major challenge of recommender systems is to help users locating interesting items. Personalized recommender systems have become very popular as they attempt to predetermine the needs of users and provide them with recommendations to personalize their navigation. However, few studies have addressed the question of what drives the users' attention to specific content within the collection and what influences the selection of interesting items. To this end, we employ the lens of Information Foraging Theory (IFT) to image recommendation to demonstrate how the user could utilize visual bookmarks to locate interesting images. We investigate a personalized content-based image recommendation system to understand what affects user attention by reinforcing visual attention cues based on IFT. We further find that visual bookmarks (cues) lead to a stronger scent of the recommended image collection. Our evaluation is based on the Pinterest image collection.
    • An efficient interference mitigation approach via quasi-access in two-tier macro-femto heterogeneous networks

      Xiao, Zhu; Li, Zhongfeng; Zhang, Xu; Liu, Enjie; Yi, Kechu (John Wiley and Sons Ltd, 2013-12-16)
      Two-tier heterogeneous networks, where the current cellular networks, that is, macrocells, are overlapped with a large number of randomly distributed femtocells, can potentially bring significant bene fits to spectral utilization and system capacity. In a two-tier network, the cross-tier interference needs to be handled properly. Unlike the downlink interference, the uplink (UL) interference at femtocell caused by macrocell user equipment (MUE) has not been addressed sufficiently. When an MUE is located near the coverage of femtocell, its transmit power may cause UL interference to the femtocell receiver, especially for the closed subscriber group femtocells that share the entire frequency spectrum with macrocell. We propose a novel quasi-access strategy, which allows the interfering MUE to connect with the interfered femtocell access point (FAP) while only via UL. It can significantly alleviate the UL interference at the FAP as well as its neighbors, in the meantime, benefit the macro-tier.
    • Ellipse fitting model for improving the effectiveness of life-logging physical activity measures in an Internet of Things environment

      Qi, Jun; Yang, Po; Hanneghan, Martin; Fan, Dina; Deng, Zhikun; Dong, Feng (Institution of Engineering and Technology, 2016-10-13)
      The popular use of wearable devices and mobile phones makes the effective capture of life-logging physical activity (PA) data in an Internet of Things (IoT) environment possible. The effective collection of measures of PA in the long term is beneficial to interdisciplinary healthcare research and collaboration from clinicians, researchers and patients. However, due to heterogeneity of connected devices and rapid change of diverse life patterns in an IoT environment, life-logging PA information captured by mobile devices usually contains much uncertainty. In this study, the authors project the distribution of irregular uncertainty by defining a walking speed related score named as daily activity in physical space and present an ellipse-fitting model-based validity improvement method for reducing uncertainties of life-logging PA measures in an IoT environment. The experimental results reflect that the proposed method remarkably improves the validity of PA measures in a healthcare platform.
    • Emerging technologies for health data analytics research: a conceptual architecture

      Lu, Jing; Keech, Malcolm; Southampton Solent University; University of Bedfordshire (Institute of Electrical and Electronics Engineers Inc., 2016-02-15)
      This paper gives a brief review of how emerging database technologies can be used to provide additional value from available health information such as electronic patient records. It is not only about the integration of technologies for data warehousing, OLAP analysis and data mining, but also the integration of data from various sources and how to share and connect the resources. The organisational structure of healthcare in the UK is illustrated before the Solent Health Informatics Partnership (SHIP) is introduced, highlighting the proposed conceptual architecture for data analytics in this context. The applicability of NoSQL and Big Data technologies is considered with an emphasis on data warehousing and mining approaches.
    • Empirical analysis of real time pricing mechanisms for demand side management: contemporary review

      Mahmud, ASM Ashraf; Sant, Paul; Tariq, Faisal; Jazani, David; University of Bedfordshire (Institute of Electrical and Electronics Engineers Inc., 2016-10-24)
      The smart grid promises a myriad of benefits for both the consumer and energy service providers. However, realising its potential is subject to solving a number of complex issues. One of the major directions of smart grid research is demand response modelling that aimed at reducing the peak demand and billing by introducing appropriate real time pricing. The main difficulty is in managing the optimum pricing on a real time basis. In this paper, we will provide a state of the art review of an existing approach that models demand response in real time and also the underlying model that is tested with real data by using a stochastic iterative process with simultaneous perturbation stochastic approximation algorithm. Our model shows that real time price is better than a flat rate price. We will provide a brief outlook to the future where we propose a model that takes complex customers' behaviour into consideration. The proposed model includes a real time Price Suggestion Unit (PSU) that assists users to further reduce their electricity price while reducing the aggregate load for the energy providers.
    • Empirical investigation of factors that impact e-government adoption in Nigeria

      Chukwu, Joshua; Conrad, Marc; Crosbie, Tess (IADIS Press, 2019-12-31)
      This paper is a review of the impact of data protection/privacy, website usability and culture on e-government adoption. Along with Hofstede's cultural dimensions and technology acceptance theory, the paper uses these two theories to analyse the highly anticipated era of electronic government, an aspect through which government communicates with agencies and business organisation through information communication technology. We examine the adoption process, its challenges and difficulties, especially in developing countries like Nigeria considering fundamental deficiencies in basic infrastructure, human capacity, political and cultural constraints. This paper can help Nigerian government policy and decision makers develop strategies to adopt e-government services and improve the further development of these services. The paper does not only provide empirical support to previous research, but it validates and improve the results of similar studies in the field.