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Rotate vector (Rv) reducer fault detection and diagnosis system: towards component level prognostics and health management (phm). (2020)
Journal Article
ROHAN, A., RAOUF, I. and KIM, H.S. 2020. Rotate vector (Rv) reducer fault detection and diagnosis system: towards component level prognostics and health management (phm). Sensors [online], 20(23), article 6845. Available from: https://doi.org/10.3390/s20236845

In prognostics and health management (PHM), the majority of fault detection and diagnosis is performed by adopting segregated methodology, where electrical faults are detected using motor current signature analysis (MCSA), while mechanical faults are... Read More about Rotate vector (Rv) reducer fault detection and diagnosis system: towards component level prognostics and health management (phm)..

The power state estimation method for high energy ternary lithium-ion batteries based on the online collaborative equivalent modeling and adaptive correction-unscented Kalman filter. (2020)
Journal Article
FAN, Y., WANG, S., JIANG, C. and FERNANDEZ, C. 2021. The power state estimation method for high energy ternary lithium-ion batteries based on the online collaborative equivalent modeling and adaptive correction-unscented Kalman filter. International journal of electrochemical science [online], 16(1), article ID 151020. Available from: https://doi.org/10.20964/2021.01.70

Accurate power state estimation plays an important role in the real-time working state monitoring and safety control of high energy lithium-ion batteries. To solve the difficulty and low accuracy problems in its real-time power state estimation under... Read More about The power state estimation method for high energy ternary lithium-ion batteries based on the online collaborative equivalent modeling and adaptive correction-unscented Kalman filter..

Preliminary evaluation of the engagement and effectiveness of a mental health chatbot. (2020)
Journal Article
DALEY, K., HUNGERBUEHLER, I., CAVANAGH, K., CLARO, H.G., SWINTON, P.A. and KAPPS, M. 2020. Preliminary evaluation of the engagement and effectiveness of a mental health chatbot. Frontiers in digital health [online], 2, article number 576361. Available from: https://doi.org/10.3389/fdgth.2020.576361

Background: Mental health difficulties are highly prevalent, yet access to support is limited by barriers of stigma, cost, and availability. These issues are even more prevalent in low- and middle-income countries, and digital technology is one poten... Read More about Preliminary evaluation of the engagement and effectiveness of a mental health chatbot..

Designing process evaluations using case study to explore the context of complex interventions evaluated in trials. (2020)
Journal Article
GRANT, A., BUGGE, C. and WELLS, M. 2020. Designing process evaluations using case study to explore the context of complex interventions evaluated in trials. Trials [online], 21, article number 982. Available from: https://doi.org/10.1186/s13063-020-04880-4

Process evaluations are an important component of an effectiveness evaluation as they focus on understanding the relationship between interventions and context to explain how and why interventions work or fail, and whether they can be transferred to... Read More about Designing process evaluations using case study to explore the context of complex interventions evaluated in trials..

On the class overlap problem in imbalanced data classification. (2020)
Journal Article
VUTTIPITTAYAMONGKOL, P., ELYAN, E. and PETROVSKI, A. 2021. On the class overlap problem in imbalanced data classification. Knowledge-based systems [online], 212, article number 106631. Available from: https://doi.org/10.1016/j.knosys.2020.106631

Class imbalance is an active research area in the machine learning community. However, existing and recent literature showed that class overlap had a higher negative impact on the performance of learning algorithms. This paper provides detailed criti... Read More about On the class overlap problem in imbalanced data classification..

Texture-sensitive superpixeling and adaptive thresholding for effective segmentation of sea ice floes in high-resolution optical images. (2020)
Journal Article
CHAI, Y., REN, J., HWANG, B., WANG, J., FAN, D., YAN, Y. and ZHU, S. 2021. Texture-sensitive superpixeling and adaptive thresholding for effective segmentation of sea ice floes in high-resolution optical images. IEEE journal of selected topics in applied earth observations and remote sensing [online], 14, pages 577-586. Available from: https://doi.org/10.1109/jstars.2020.3040614

Efficient and accurate segmentation of sea ice floes from high-resolution optical (HRO) remote sensing images is crucial for understanding of sea ice evolutions and climate changes, especially in coping with the large data volume. Existing methods su... Read More about Texture-sensitive superpixeling and adaptive thresholding for effective segmentation of sea ice floes in high-resolution optical images..

Multiscale 2-D singular spectrum analysis and principal component analysis for spatial–spectral noise-robust feature extraction and classification of hyperspectral images. (2020)
Journal Article
MA, P., REN, J., ZHAO, H., SUN, G., MURRAY, P. and ZHENG, J. 2021. Multiscale 2-D singular spectrum analysis and principal component analysis for spatial–spectral noise-robust feature extraction and classification of hyperspectral images. IEEE journal of selected topics in applied earth observations and remote sensing [online], 14, pages 1233-1245. Available from: https://doi.org/10.1109/JSTARS.2020.3040699

In hyperspectral images (HSI), most feature extraction and data classification methods rely on corrected dataset, in which the noisy and water absorption bands are removed. This can result in not only extra working burden but also information loss fr... Read More about Multiscale 2-D singular spectrum analysis and principal component analysis for spatial–spectral noise-robust feature extraction and classification of hyperspectral images..

COVID-19 pandemic: the effects and prospects in the construction industry. (2020)
Journal Article
OGUNNUSI, M., HAMMA-ADAMA, M., SALMAN, H. and KOUIDER, T. 2020. COVID-19 pandemic: the effects and prospects in the construction industry. International journal of real estate studies [online], 14(Special Issue 2), pages 120-128. Available from: https://www.utm.my/intrest/files/2020/11/2_Final_MS_CRES-Covid-025.pdf

COVID-19, social distancing, self-isolation, quarantine, furlough, palliatives, and many more emerged as the new vocabularies of the entire world, construction industry not excluded. It is precisely a decade from the last pandemic experienced by the... Read More about COVID-19 pandemic: the effects and prospects in the construction industry..

Blockchain grammars for validating the design process. (2020)
Journal Article
LOMBARDI, D., DOUNAS, T., CHEUNG, L.H. and JABI, W. 2020. Blockchain grammars for validating the design process. Blucher design proceedings [online], 8(4): proceedings of 24th International Conference of the Iberoamerican Society of Digital Graphics (SIGraDi 2020): transformative design, 16-20 November 2020, Medellín, Colombia, pages 406-411. Available from: https://doi.org/10.5151/sigradi2020-56

This paper presents and develops the concept of Decentralised Autonomous Organisation (DAO) as a platform for collaboration, via a design scenario in which Blockchain (BC) technology is implemented for validation purposes. The envisioned scenario sim... Read More about Blockchain grammars for validating the design process..

The feasibility of exercise interventions delivered via telehealth for people affected by cancer: a rapid review of the literature. (2020)
Journal Article
MORRISON, K.S., PATERSON, C. and TOOHEY, K. 2020. The feasibility of exercise interventions delivered via telehealth for people affected by cancer: a rapid review of the literature. Seminars in oncology nursing [online], 36(6), article ID 151092. Available from: https://doi.org/10.1016/j.soncn.2020.151092

Background:- The prevalence of exercise as an adjunct therapy to cancer treatments including chemotherapy, radiation therapy, and surgery is growing rapidly and has been shown to improve health outcomes, treatment completion rates, and quality of lif... Read More about The feasibility of exercise interventions delivered via telehealth for people affected by cancer: a rapid review of the literature..

Anatoxin-a degradation by using titanium dioxide. (2020)
Journal Article
KAMINSKI, A., EDWARDS, C., CHRAPUSTA-SREBRNY, E. and LAWTON, L.A. 2021. Anatoxin-a degradation by using titanium dioxide. Science of the total environment [online], 756, article ID 143590. Available from: https://doi.org/10.1016/j.scitotenv.2020.143590

Advanced oxidation processes, such as using titanium dioxide (TiO2) photocatalysis, are being developed to reduce or eliminate the toxicity of treated water. In this study, the removal of purified anatoxin-a (ANTX-a), live Dolichospermum flos-aquae c... Read More about Anatoxin-a degradation by using titanium dioxide..

Sand failure: effect of biocide on the geomechanical properties of outcrop carbonate rock under static condition. (2020)
Journal Article
WUYEP, E., OLUYEMI, G., YATES, K. and AKISANYA, A.R. 2020. Sand failure: effect of biocide on the geomechanical properties of outcrop carbonate rock under static condition. Arabian journal of geosciences [online], 13(23), article ID 1239. Available from: https://doi.org/10.1007/s12517-020-06176-y

The effects of chemical interaction of a biocide with formation rocks on the rock geomechanical properties are examined. A combination of analytical tests (Scanning Electron Microscopy/Energy-Dispersive X-Ray Analysis, X-Ray Powder Diffraction and Pa... Read More about Sand failure: effect of biocide on the geomechanical properties of outcrop carbonate rock under static condition..

Impact of resistance training status on trunk muscle activation in a fatiguing set of heavy back squats. (2020)
Journal Article
CLARK, D.R., LAMBERT, M.I., GRIGSON, C. and HUNTER, A.M. 2020. Impact of resistance training status on trunk muscle activation in a fatiguing set of heavy back squats. European journal of applied physiology [online], 121(2), pages 597-608. Available from: https://doi.org/10.1007/s00421-020-04540-0

In this study we measured neural activation (EMG) in four trunk stabilizer muscles and vastus lateralis (VL) in trained and novice participants during a set of squat repetitions to volitional fatigue at 85% 1RM. Forty males were recruited into two gr... Read More about Impact of resistance training status on trunk muscle activation in a fatiguing set of heavy back squats..

Generating insights into what matters to emergency nurses and family members when caring for older people with dementia: how to use generativity as a principle of appreciative inquiry. (2020)
Journal Article
WATKINS, S., DEWAR, B., GRAHAM, M., MURPHY, F., KENNEDY, C. and O'REILLY, P. 2020. Generating insights into what matters to emergency nurses and family members when caring for older people with dementia: how to use generativity as a principle of appreciative inquiry. International practice development journal [online], 10(2), article ID 4. Available from: https://doi.org/10.19043/ipdj.102.004

Background: Participatory research approaches aim to hear the voices of those who give and receive services to co-create insights into future improvements in care experiences. Appreciative Inquiry (AI) is one such participatory approach. The purpose... Read More about Generating insights into what matters to emergency nurses and family members when caring for older people with dementia: how to use generativity as a principle of appreciative inquiry..

Learning together, learning apart: integrated action learning through a socio-technical systems lens (2020)
Journal Article
WILSON, H., TUCKER, M., HANNIBAL, C. and QU, Z. 2021. Learning together, learning apart: integrated action learning through a socio-technical systems lens. Action learning: research and practice [online], 18(1): adaptive action learning, pages 5-19. Available from: https://doi.org/10.1080/14767333.2020.1843403

To contribute to current debate concerning approaches to teaching and learning for researching complex work-based problems, we focus on the Doctorate of Business Administration (DBA) programme. We examine the development of an integrated action learn... Read More about Learning together, learning apart: integrated action learning through a socio-technical systems lens.

Fusion of PCA and segmented-PCA domain multiscale 2-D-SSA for effective spectral-spatial feature extraction and data classification in hyperspectral imagery. (2020)
Journal Article
FU, H., SUN, G., REN, J., ZHANG, A. and JIA, X. 2020. Fusion of PCA and segmented-PCA domain multiscale 2-D-SSA for effective spectral-spatial feature extraction and data classification in hyperspectral imagery. IEEE transactions on geoscience and remote sensing [online], 60, article 5500214. Available from: https://doi.org/10.1109/TGRS.2020.3034656

As hyperspectral imagery (HSI) contains rich spectral and spatial information, a novel principal component analysis (PCA) and segmented-PCA (SPCA)-based multiscale 2-D-singular spectrum analysis (2-D-SSA) fusion method is proposed for joint spectral–... Read More about Fusion of PCA and segmented-PCA domain multiscale 2-D-SSA for effective spectral-spatial feature extraction and data classification in hyperspectral imagery..

mTOR pathway in gastroenteropancreatic neuroendocrine tumor (GEP-NETs). (2020)
Journal Article
ZANINI, S., RENZI, S., GIOVINAZZO, F. and BERMANO, G. 2020. mTOR pathway in gastroenteropancreatic neuroendocrine tumor (GEP-NETs). Frontiers in endocrinology [online], 11, article ID 562505. Available from: https://doi.org/10.3389/fendo.2020.562505

Gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs) originate from neuroendocrine cells in the gastrointestinal tract. They are heterogeneous, and though initially considered rare tumors, the incidence of GEP-NENs has increased in the last few... Read More about mTOR pathway in gastroenteropancreatic neuroendocrine tumor (GEP-NETs)..

Theranostic approach for the protein corona of polysaccharide nanoparticles. (2020)
Journal Article
SKALICKOVA, S., HORKY, P., MLEJNKOVA, V., SKLADANDA, J., HOSNEDLOVA, B., RUTTKAY-NEDECKY, B., FERNANDEZ, C. and KIZEK, R. 2021. Theranostic approach for the protein corona of polysaccharide nanoparticles. Chemical record [online], 21(1), pages 17-28. Available from: https://doi.org/10.1002/tcr.202000042

Polysaccharide nanoparticles are promising materials in the wide range of disciplines such as medicine, nutrition, food production, agriculture, material science and others. They excel- not only in their non-toxicity and biodegradability but also in... Read More about Theranostic approach for the protein corona of polysaccharide nanoparticles..

3D printing for hip implant applications: a review. (2020)
Journal Article
OKOLIE, O., STACHUREK, I., KANDASUBRAMANIAN, B. and NJUGUNA, J. 2020. 3D printing for hip implant applications: a review. Polymers [online], 12(11), articles ID 2682. Available from: https://doi.org/10.3390/polym12112682

There is a rising demand for replacement, regeneration of tissues and organ repairs for patients who suffer from diseased/damaged bones or tissues such as hip pains. The hip replacement treatment relies on the implant, which may not always meet the r... Read More about 3D printing for hip implant applications: a review..

Iterative enhanced multivariance products representation for effective compression of hyperspectral images. (2020)
Journal Article
TUNA, S., TÖREYIN, B.U., REN, J., ZHAO, H. and MARSHALL, S. 2021. Iterative enhanced multivariance products representation for effective compression of hyperspectral images. IEEE transactions on geoscience and remote sensing [online], 59(11), pages 9569-9584. Available from: https://doi.org/10.1109/TGRS.2020.3031016

Effective compression of hyperspectral (HS) images is essential due to their large data volume. Since these images are high dimensional, processing them is also another challenging issue. In this work, an efficient lossy HS image compression method b... Read More about Iterative enhanced multivariance products representation for effective compression of hyperspectral images..