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Browsing by Author "Centre for Climate Change Research (C3R)"
Now showing items 341-360 of 579
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Large amplitude periodic outbursts and long period variables in the VVV VIRAC2-$β$ database
Guo, Zhen; Lucas, P. W.; Smith, L. C.; Clarke, C.; Peña, C. Contreras; Bayo, A.; Briceño, C.; Elias, J.; Kurtev, R. G.; Borissova, J.; Alonso-García, J.; Minniti, D.; Catelan, M.; Nikzat, F.; Morris, C.; Miller, N. (2022-03-21)The VISTA Variables in the Via Lactea (VVV) survey obtained near-infrared photometry toward the Galactic bulge and the southern disc plane for a decade (2010 - 2019). We designed a modified Lomb-Scargle method to search ... -
Large deformation behavior of functionally graded porous curved beams in thermal environment
Nikrad, Seyed; Kanellopoulos, Antonios; Bodaghi, Mahdi; Chen, Zengtao; Pourasghar, Aminallah (2021-02-11)The in-plane thermoelastic response of curved beams made of porous materials with different types of functionally graded (FG) porosity is studied in this research contribution. Nonlinear governing equations are derived ... -
Lattice design and 3D-printing of PEEK with Ca10(OH)(PO4)3 and in-vitro bio-composite for bone implant
Oladapo, B. I.; Ismail, S. O.; Oluwole, B.; Omigbodun, F. T.; Olawumi, M. A.; Muhammad, M. A. (2020-12-15)The addition of biomaterials such as Calcium hydroxyapatite (cHAp) and incorporation of porosity into poly-ether-ether-ketone (PEEK) are effective ways to improve bone-implant interfaces and osseointegration of PEEK ... -
Learning sustainable urbanism lessons from ‘other’ New Towns in the UK: : Contributing to design for health and wellbeing in the postwar British New Towns (and beyond)
Parham, Susan; Hardy, Matthew; Sadoux, Stéphane (2022-04-07)The following presentation to a Sorbonne New Towns Study Day held in April 2022, explores the contribution of New Towns to health, housing and wellbeing, arguing it is useful to widen out scope of what can be defined as a ... -
Leptosphaeria biglobosa inhibits the production of sirodesmin PL by L. maculans
Fortune, James; Bingol, Evren; Qi, Aiming; Baker, Daniel; Ritchie, Faye; Karandeni Dewage, Chinthani Shanika; Fitt, Bruce; Huang, Yongju (2022-11-29)BACKGROUND: Phoma stem canker is caused by two coexisting pathogens, Leptosphaeria maculans and L. biglobosa. They coexist because of their temporal and spatial separations, which are associated with the differences in ... -
Leptosphaeria maculans isolates with variations in AvrLm1 and AvrLm4 effector genes induce differences in defence responses but not in resistance phenotypes in cultivars carrying the Rlm7 gene
Stotz, Henrik Uwe; Ali, Ajisa Muthayil; de Lope, Lucia Robado; Rafi, Mohammed Sajid; Mitrousia, Georgia Konstantinou; Huang, Yong‐Ju; Fitt, Bruce David Ledger (2023-03-28)BACKGROUND The phoma stem canker pathogen Leptosphaeria maculans is one of the most widespread and devastating pathogens of oilseed rape (Brassica napus) in the world. Pathogen colonization is stopped by an interaction of ... -
Light scattering and absorption properties of dust particles retrieved from satellite measurements
Hu, R-M.; Sokhi, R.S. (2009)We use the radiative transfer model and chemistry transport model to improve our retrievals of dust optical properties from satellite measurements. The optical depth and absorbing optical depth of mineral dust can be ... -
Light scattering and absorption properties of dust particles retrieved from satellite measurements
Hu, R-M.; Sokhi, R.S. (2008)We use the radiative transfer model and chemistry transport model to improve our retrievals of dust optical properties from satellite measurements. The optical depth and absorbing optical depth of mineral dust can be ... -
Light Texture and Volumes
Carta, Silvio (2023-06-08)In this section, we showcase three recently built single family houses in Mexico that embrace their distinct settings. Each house maximizes its unique location, whether nestled within a dense pine forest or boasting breath ... -
Linear Permanent Magnet Vernier Generators for Wave Energy Applications: Analysis, Challenges, and Opportunities
Jafari, Reza; Asef, Pedram; Ardebili, Mohammad; Derakhshani, Mohammad Mahdi (2022-09-01)Harvesting energy from waves as a substantial resource of renewable energy has attracted much attention in recent years. Linear permanent magnet vernier generators (LPMVGs) have been widely adopted in wave energy applications ... -
Living in an Age-Friendly Community: Evidence from a Masterplanned Development in Southwest Sydney
Jones, Alasdair; Parham, Susan (2023-01-11)This paper is situated at the interface of a growing urban studies literature concerned with ‘masterplanning’ practices in urban planning and another, hitherto relatively discrete, body of research concerned with age-friendly ... -
Local Heat Transfer Measurements on a Rotating Flat Blade Model with a Single Film Hole
Xu, G; Yang, B; Tao, Z; Zhao, Z; Wu, Hongwei (2009-05-10)An experimental study was performed to measure the heat transfer coefficient distributions on a flat blade model under rotating operating conditions. A steady-state thermochromic liquid crystal technique was employed to ... -
Low-frequency radio spectra of submillimetre galaxies in the Lockman Hole
Ramasawmy, J.; Geach, J. E.; Hardcastle, M. J.; Best, P. N.; Bonato, M.; Bondi, M.; Rivera, G. Calistro; Cochrane, R. K.; Conway, J. E.; Coppin, K.; Duncan, K. J.; Dunlop, J. S.; Franco, M.; García-Vergara, C.; Jarvis, M. J.; Kondapally, R.; McCheyne, I.; Prandoni, I.; Röttgering, H. J. A.; Smith, D. J. B.; Tasse, C.; Wang, L. (2021-04-19)We investigate the radio properties of a sample of 53 sources selected at 850 $\mu$m from the SCUBA-2 Cosmology Legacy Survey using new deep, low-frequency radio imaging of the Lockman Hole field from the Low Frequency ... -
Low-Speed Aerodynamic Analysis Using Four Different Turbulent Models of Solver of a Wind Turbine Shroud
Ngouani Siewe, Micky; CHEN, Yong Kang; Day, Rodney; David-West, Opukuro (Springer Nature, 2021-04-30)This study presents the effect of four different turbulent models of solver on the aerodynamic analysis of a shroud at wind speed below 6 m/s. The converting shroud uses a combination of a cylindrical case and an inverted ... -
A machine learning approach for predicting critical factors determining adoption of off-site construction in Nigeria
Wusu, Godoyon; Alaka, Hafiz; Yusuf, Wasiu; Mporas, Iofis; Toriola-Coker, Luqman; Oseghale, Raphael (2022-12-12)Purpose: Several factors influence OSC adoption, but extant literature did not articulate the dominant barriers or drivers influencing adoption. Therefore, this research has not only ventured into analyzing the core ... -
Machine learning for energy performance prediction at the design stage of buildings
Olu-Ajayi, Razak; Alaka, Hafiz; Sulaimon, Ismail; Sunmola, Funlade; Ajayi, Saheed (2022-02-28)The substantial amount of energy consumption in buildings and the associated adverse effects prompts the importance of understanding building energy efficiency. Developing an energy prediction model with high accuracy is ... -
Machine Learning Recognition Models in Construction: A Systematic Review
Yusuf, Wasiu; Alaka, Hafiz; Ebenezer, Wusu; Ajayi, Saheed; ToriolaCoker, Luqman Olaleka (Obafemi Awolowo University, Ile-Ife, 2021-07-08)Due to its growing acceptance and success in many sectors, there is a rapidly rising adoption and application of machine learning recognition models within construction. As a result of this adoption and usage surge, there ... -
Management of Diseases and Pests of Oilseed Rape
Fitt, Bruce; Jellis, G J (AFCP, 2021-06-16) -
Measurement and modeling of light scattering by small particles
Hesse, Evelyn; Ulanowski, Zbigniew; McCall, D.; Stopford, Chris; Kaye, Paul H. (University of Bremen, 2008)At the University of Hertfordshire we measure and model light scattering by small particles, in particular by such relevant for climate research. The measurements comprise phase functions, linear polarization of single ... -
MEASURING RESILIENT COMMUNITIES : An analytical and predictive tool
Carta, Silvio; Turchi, Tommaso; Pintacuda, Luigi (2022-04-15)This work presents the initial results of an analytical tool designed to quantitatively assess the level of resilience of urban areas. We use Deep Neural Networks to extract features of resilience from a trained model that ...