All Outputs (382)

The role of international anti-corruption regulations in promoting socially responsible practices. (2021)
Journal Article
JANDHYALA, S. and OLIVEIRA, F.S. 2021. The role of international anti-corruption regulations in promoting socially responsible practices. Journal of economic behavior and organization [online], 190, pages 15-32. Available from: https://doi.org/10.1016/j.jebo.2021.07.017

We analyze how international anti-corruption rules impact the behavior of multinational firms in promoting sustainable practices. Competition from multinational firms is expected to lower bribe rents and hence corruption in host countries. However, w... Read More about The role of international anti-corruption regulations in promoting socially responsible practices..

Spectral-spatial self-attention networks for hyperspectral image classification. (2021)
Journal Article
ZHANG, X., SUN, G., JIA, X., WU, L., ZHANG, A., REN, J., FU, H. and YAO, Y. 2022. Spectral-spatial self-attention networks for hyperspectral image classification. IEEE transactions on geoscience and remote sensing [online], 60, article 5512115. Available from: https://doi.org/10.1109/TGRS.2021.3102143

This study presents a spectral-spatial self-attention network (SSSAN) for classification of hyperspectral images (HSIs), which can adaptively integrate local features with long-range dependencies related to the pixel to be classified. Specifically, i... Read More about Spectral-spatial self-attention networks for hyperspectral image classification..

A critical review of online battery remaining useful lifetime prediction methods. (2021)
Journal Article
WANG, S., JIN, S., DENG, D. and FERNANDEZ, C. 2021. A critical review of online battery remaining useful lifetime prediction methods. Frontiers in mechanical engineering [online], 7, article 719718. Available from: https://doi.org/10.3389/fmech.2021.719718

Lithium-ion batteries play an important role in our daily lives. The prediction of the remaining service life of lithium-ion batteries has become an important issue. This article reviews the methods for predicting the remaining service life of lithiu... Read More about A critical review of online battery remaining useful lifetime prediction methods..

Giving children a voice through partnership: a child rights-based approach to the co-design of postgraduate nurse education. (2021)
Journal Article
ALLAN, E. and LUDERS, S. 2021. Giving children a voice through partnership: a child rights-based approach to the co-design of postgraduate nurse education. British journal of child health, [online], 2(4), pages 171-178. Available from: https://doi.org/10.12968/chhe.2021.2.4.171

Background: There is an increasing need for the voice of children and young people to be more evident in planning and designing services, including the delivery of higher education, for school nurses to ultimately influence service delivery. Aim: To... Read More about Giving children a voice through partnership: a child rights-based approach to the co-design of postgraduate nurse education..

Effectiveness of app-delivered, tailored self-management support for adults with lower back pain-related disability: a selfBACK randomized clinical trial. (2021)
Journal Article
SANDAL, L.F., BACH, K., ØVERÅS, C.K., WIRATUNGA, N., COOPER, K, et al. 2021. Effectiveness of app-delivered, tailored self-management support for adults with lower back pain-related disability: a selfBACK randomized clinical trial. JAMA internal medicine [online], 181(10), pages 1288-1296. Available from: https://doi.org/10.1001/jamainternmed.2021.4097

Importance: Lower back pain (LBP) is a prevalent and challenging condition in primary care. The effectiveness of an individually tailored self-management support tool delivered via a smartphone app has not been rigorously tested. Objective: To invest... Read More about Effectiveness of app-delivered, tailored self-management support for adults with lower back pain-related disability: a selfBACK randomized clinical trial..

Mental health and wellbeing of postgraduate researchers: exploring the relationship between mental health literacy, help-seeking behaviour, psychological distress, and wellbeing. (2021)
Journal Article
MOSS, R.A., GORCZYNSKI, P., SIMS-SCHOUTEN, W., HEARD-LAUREOTE, K. and CREATON, J. 2022. Mental health and wellbeing of postgraduate researchers: exploring the relationship between mental health literacy, help-seeking behaviour, psychological distress, and wellbeing. Higher education research and development [online], 41(4), pages 1168-1183. Available from: https://doi.org/10.1080/07294360.2021.1906210

Studies of Postgraduate Researchers (PGRs) have highlighted that the population may be at risk of developing symptoms of common mental health problems. Early intervention and preventative measures may reduce this risk, such as improving mental health... Read More about Mental health and wellbeing of postgraduate researchers: exploring the relationship between mental health literacy, help-seeking behaviour, psychological distress, and wellbeing..

Exploring the socio-cultural impact of Scottish island airports. (2021)
Journal Article
BAXTER, G., BLOICE, L. and GRAY, D. 2021. Exploring the socio-cultural impact of Scottish island airports. Scottish affairs [online], 30(3), pages 311-336. Available from: https://doi.org/10.3366/scot.2021.0372

This paper explores the social importance of small, local airports to Scottish island communities, and the roles that they might play in maintaining cultural identity and a sense of place. It draws upon studies conducted in three communities: Benbecu... Read More about Exploring the socio-cultural impact of Scottish island airports..

Anomaly detection using deep neural network for IoT architecture. (2021)
Journal Article
AHMAD, Z., KHAN, A.S., NISAR, K., HAIDER, I., HASSAN, R., HAQUE, M.R., TARMIZI, S. and RODRIGUES, J.J.P.C. 2021. Anomaly detection using deep neural network for IoT architecture. Applied sciences [online], 11(15), article number 7050. Available from: https://doi.org/10.3390/app11157050

The revolutionary idea of the internet of things (IoT) architecture has gained enormous popularity over the last decade, resulting in an exponential growth in the IoT networks, connected devices, and the data processed therein. Since IoT devices gene... Read More about Anomaly detection using deep neural network for IoT architecture..

Effect of two-phase gas-liquid flow patterns on cuttings transport efficiency. (2021)
Journal Article
SALUBI, V., MAHON, R., OLUYEMI, G. and OYENEYIN, B. 2022. Effect of two-phase gas-liquid flow patterns on cuttings transport efficiency. Journal of petroleum science and engineering [online], 208(part A), article 109281. Available from: https://doi.org/10.1016/j.petrol.2021.109281

Effective cuttings transport and accurate drilling hydraulics prediction remain issues of concern during drilling operations of horizontal, extended reach and multilateral wells. While several studies have adopted a two- or three-layered modelling ap... Read More about Effect of two-phase gas-liquid flow patterns on cuttings transport efficiency..

A means of assessing deep learning-based detection of ICOS protein expression in colon cancer. (2021)
Journal Article
SARKER, M.M.K., MAKHLOUF, Y., CRAIG, S.G., HUMPHRIES, M.P., LOUGHREY, M., JAMES, J.A., SALTO-TELLEZ, M., O'REILLY, P. and MAXWELL, P. 2021. A means of assessing deep learning-based detection of ICOS protein expression in colon cancer. Cancers [online], 13(15): machine learning techniques in cancer, article 3825. Available from: https://doi.org/10.3390/cancers13153825

Biomarkers identify patient response to therapy. The potential immune‐checkpoint bi-omarker, Inducible T‐cell COStimulator (ICOS), expressed on regulating T‐cell activation and involved in adaptive immune responses, is of great interest. We have prev... Read More about A means of assessing deep learning-based detection of ICOS protein expression in colon cancer..

Chalcogen bonding and liquid crystallinity: understanding the anomalous behaviour of the 4'-(alkylthio)[1,1'-biphenyl]-4-carbonitriles (nSCB). (2021)
Journal Article
CRUICKSHANK, E., STRACHAN, G.J., STOREY, J.M.D. and IMRIE, C.T. 2022. Chalcogen bonding and liquid crystallinity: understanding the anomalous behaviour of the 4'-(alkylthio)[1,1'-biphenyl]-4-carbonitriles (nSCB). Journal of molecular liquids [online], 346, article 117094. Available from: https://doi.org/10.1016/j.molliq.2021.117094

The synthesis and characterisation of the first eleven members of the 4'-(alkylthio)[1,1'-biphenyl]-4-carbonitriles series is reported. All eleven members show monotropic liquid crystal behaviour. The first six members are exclusively nematogenic, th... Read More about Chalcogen bonding and liquid crystallinity: understanding the anomalous behaviour of the 4'-(alkylthio)[1,1'-biphenyl]-4-carbonitriles (nSCB)..

Biopsychosocial effects of competition preparation in natural bodybuilders. (2021)
Journal Article
CHAPPELL, A.J., SIMPER, T.N., TREXLER, E.T. and HELMS, E.R. 2021. Biopsychosocial effects of competition preparation in natural bodybuilders. Journal of human kinetics [online], 79(1), pages 259-276. Available from: https://doi.org/10.2478/hukin-2021-0082

Bodybuilders are judged on the subjective visual assessment of their muscular size, proportion, and leanness. This case series tracked four drug-free bodybuilders (3 male) during the off-season, pre-competition and recovery phases. This study aimed t... Read More about Biopsychosocial effects of competition preparation in natural bodybuilders..

Artificial intelligence for supply chain resilience: learning from Covid-19. (2021)
Journal Article
MODGIL, S., SINGH, R.K. and HANNIBAL, C. 2022. Artificial intelligence for supply chain resilience: learning from Covid-19. International journal of logistics management [online], 33(4), pages 1246-1268. Available from: https://doi.org/10.1108/IJLM-02-2021-0094

Many supply chains have faced disruption during Covid-19. Artificial intelligence (AI) is one mechanism that can be used to improve supply chain resilience by developing business continuity capabilities. This study examines how firms employ AI and co... Read More about Artificial intelligence for supply chain resilience: learning from Covid-19..

A lightweight deep learning-based approach for concrete crack characterization using acoustic emission signals. (2021)
Journal Article
HABIB, M.A., HASAN, M.J. and KIM, J.-M. 2021. A lightweight deep learning-based approach for concrete crack characterization using acoustic emission signals. IEEE access [online], 9, pages 104029-104050. Available from: https://doi.org/10.1109/ACCESS.2021.3099124

This paper proposes an acoustic emission (AE) based automated crack characterization method for reinforced concrete (RC) beams using a memory efficient lightweight convolutional neural network named SqueezeNet. The proposed method also includes a sig... Read More about A lightweight deep learning-based approach for concrete crack characterization using acoustic emission signals..

A novel multi-stage residual feature fusion network for detection of COVID-19 in chest X-ray images. (2021)
Journal Article
FANG, Z., REN, J., MACLELLAN, C., LI, H., ZHOA, H., HUSSAIN, A. and FORTINO, G. 2022. A novel multi-stage residual feature fusion network for detection of COVID-19 in chest X-ray images. IEEE transactions on molecular, biological and multi-scale communications [online], 8(1), pages 17-27. Available from: https://doi.org/10.1109/tmbmc.2021.3099367

To suppress the spread of COVID-19, accurate diagnosis at an early stage is crucial, chest screening with radiography imaging plays an important role in addition to the real-time reverse transcriptase polymerase chain reaction (RT-PCR) swab test. Due... Read More about A novel multi-stage residual feature fusion network for detection of COVID-19 in chest X-ray images..

Analysis of multi-factors affecting the performance of Nigeria's refineries: a systems thinking approach. (2021)
Journal Article
IHEUKWUMERE, O., MOORE, D. and OMOTAYO, T. 2023. Analysis of multi-factors affecting the performance of Nigeria's refineries: a systems thinking approach. International journal of productivity and performance management [online], 72(3), pages 679-709. Available from: https://doi.org/10.1108/IJPPM-11-2020-0585

The challenges facing the productivity of Nigeria's refineries have generated much academic discourse. This study was carried out to develop a causal loop model showing the interrelationships of the multiple factors driving the poor performance of th... Read More about Analysis of multi-factors affecting the performance of Nigeria's refineries: a systems thinking approach..

一种基于模糊成像机理的QR码图像快速盲复原方法. (2021)
Journal Article
CHEN, R., ZHENG, Z., ZHAO, H., REN, J. and TAN, H. 2021. 一种基于模糊成像机理的QR 码图像快速 盲复原方法. = [Fast blind restoration of QR code images based on blurred imaging mechanism]. Guangzi xuebao/Acta photonica sinica [online], 50(7), article 0710003. Available from: https://doi.org/10.3788/gzxb20215007.0710003

A fast blind restoration method of QR code images was proposed based on a blurred imaging mechanism. On the basis of the research on the centroid invariance of the blurred imaging diffuse light spots, the circular finder pattern is designed. When the... Read More about 一种基于模糊成像机理的QR码图像快速盲复原方法..

Developing, piloting and evaluating a medicines safety school programme to be delivered by student pharmacists. (2021)
Journal Article
DEPASQUALE, C., BROWN, A., ARNOLD, A., DRUMMOND, N. and TONNA, A. 2021. Developing, piloting and evaluating a medicines safety school programme to be delivered by student pharmacists. Currents in pharmacy teaching and learning [online], 13(10), pages 1319-1323. Available from: https://doi.org/10.1016/j.cptl.2021.07.005

Introduction: This project aimed to develop content, pilot delivery, and evaluate effectiveness of an innovative Medicines Safety School Programme delivered by student pharmacists to primary school pupils. Methods: A collaborative approach between ac... Read More about Developing, piloting and evaluating a medicines safety school programme to be delivered by student pharmacists..

Selenium, as selenite, prevents adipogenesis by modulating selenoproteins gene expression and oxidative stress-related genes. (2021)
Journal Article
ABO EL-MAGD, N.F., BARBOSA, P.O., NICK, J., COVALERO, V., GRIGNETTI, G. and BERMANO, G. 2022. Selenium, as selenite, prevents adipogenesis by modulating selenoproteins gene expression and oxidative stress-related genes. Nutrition [online], 93, article 111424. Available from: https://doi.org/10.1016/j.nut.2021.111424

The aim of this study was to assess the effect of the micronutrient selenium, as inorganic selenite, on adipocytes differentiation, and to identify underlying molecular mechanisms to advance the understanding of basic cellular mechanisms associated w... Read More about Selenium, as selenite, prevents adipogenesis by modulating selenoproteins gene expression and oxidative stress-related genes..

Assessment of risk associated with road infrastructure development in the developing countries. (2021)
Journal Article
HAMMA-ADAMA, M., OGUNNUSI, M., MASHWAMA, N.X., AHMAD, A.-B.S. and ABBA, H.A. 2021. Assessment of risk associated with road infrastructure development in the developing countries. Global scientific journals [online], 9(7), pages 1223-1229. Available from: https://www.globalscientificjournal.com/researchpaper/Assessment_of_Risk_Associated_with_Road_Infrastructure_Development_in_the_Developing_Countries.pdf

Developing countries are striving to build their infrastructure to foster their economic growth. Authors discovered that continuous rising in the access to locations along with spending on infrastructure enhances the economic development and growth o... Read More about Assessment of risk associated with road infrastructure development in the developing countries..