All Outputs (6)

An improved Cauchy robust correction-sage Husa extended Kalman filtering algorithm for high-precision SOC estimation of Lithium-ion batteries in new energy vehicles. [Dataset] (2024)
Dataset
ZHU, C., WANG, S., YU, C., ZHOU, H., FERNANDEZ, C. and GUERRERO, J.M. 2024. An improved Cauchy robust correction-sage Husa extended Kalman filtering algorithm for high-precision SOC estimation of Lithium-ion batteries in new energy vehicles. [Dataset]. Journal of energy storage [online], 88, article number 111552. Available from: https://www.sciencedirect.com/science/article/pii/S2352152X2401137X?via%3Dihub#s0100

The accurate estimation of battery State of Charge (SOC) is a key technology in the research of electric vehicle battery management systems. In order to solve the problem of inaccurate noise estimation in nonlinear systems, an improved Cauchy robust... Read More about An improved Cauchy robust correction-sage Husa extended Kalman filtering algorithm for high-precision SOC estimation of Lithium-ion batteries in new energy vehicles. [Dataset].

What is the impact of long-term COVID-19 on workers in healthcare settings? A rapid systematic review of current evidence. [Dataset] (2024)
Dataset
CRUICKSHANK, M., BRAZZELLI, M., MANSON, P., TORRANCE, N. and GRANT, A. 2024. What is the impact of long-term COVID-19 on workers in healthcare settings? A rapid systematic review of current evidence. [Dataset]. PLoS one [online], 19(3), article number e0299743. Available from: https://doi.org/10.1371/journal.pone.0299743

Long COVID (LC) has rapidly emerged as a long-term debilitating illness described by the World Health Organisation (WHO) as "devastating". Health and social care workers have a higher prevalence of self-reported LC compared to other occupational grou... Read More about What is the impact of long-term COVID-19 on workers in healthcare settings? A rapid systematic review of current evidence. [Dataset].

Trust people you’ve never worked with: a social network visualization of teamwork, cohesion, social support, and mental health in NHS Covid personnel. [Dataset] (2024)
Dataset
SCHILLING, S., ARMAOU, M., MORRISON, Z., CARDING, P., BRICKNELL, M. and CONNELLY, V. 2024. Trust people you’ve never worked with: a social network visualization of teamwork, cohesion, social support, and mental health in NHS Covid personnel. [Dataset]. Frontiers in psychology [online], 15, article number 1293171. Available from: https://www.frontiersin.org/articles/10.3389/fpsyg.2024.1293171/full#supplementary-material

The complexity, patient volume, and severity of COVID-19, exacerbated by already existing staff shortages in the healthcare sector, required an unprecedented upscaling of capacity during the peak phases of COVID-19. Hospitals around the world relied... Read More about Trust people you’ve never worked with: a social network visualization of teamwork, cohesion, social support, and mental health in NHS Covid personnel. [Dataset].

High-strong-ductile magnesium alloys by interactions of nanoscale quasi-long period stacking order unit with twin. [Dataset] (2024)
Dataset
ZHOU, L., NIU, T., ZOU, G., SU, H., HE, S., ZHENG, S., ZHU, Y., CHEN, P., FERNANDEZ, C. and PENG, Q. 2024. High-strong-ductile magnesium alloys by interactions of nanoscale quasi-long period stacking order unit with twin. [Dataset]. Journal of magnesium and alloys [online], In Press. Available from: http://tinyurl.com/bdh3kb39

Magnesium alloys with high strength in combination of good ductility are especially desirable for applications in transportation, aerospace and bio-implants owing to their high stiffness, abundant raw materials, and environmental friendliness. Howeve... Read More about High-strong-ductile magnesium alloys by interactions of nanoscale quasi-long period stacking order unit with twin. [Dataset].

Co-gasification study of blends of municipal solid waste with sugarcane bagasse and rice husk using the Coats-Redfern method. [Dataset] (2024)
Dataset
HAMEED, Z., KHAN, Z., KHURRAM, S., INAYAT, A., AMIN, N., ASLAM, M. and WATSON, I. 2024. Co-gasification study of blends of municipal solid waste with sugarcane bagasse and rice husk using the Coats-Redfern method. [Dataset]. Journal of the Energy Institute [online], 113, article 101542. Available from: https://www.sciencedirect.com/science/article/pii/S1743967124000205?via%3Dihub#appsec1

Rapid development in the current economic situation has led to an increase in carbon emissions and to find sustainable solution to deal with this problem. Co-gasification of biomass with municipal solid waste is gaining significant importance to util... Read More about Co-gasification study of blends of municipal solid waste with sugarcane bagasse and rice husk using the Coats-Redfern method. [Dataset].

The influence of molecular shape and electronic properties on the formation of the ferroelectric nematic phase. [Dataset] (2024)
Dataset
CRUICKSHANK, E., TUFAHA, N., WALKER, R., BROWN, S., GORECKA, E., POCIECHA, D., STOREY, J.M.D. and IMRIE, C.T. The influence of molecular shape and electronic properties on the formation of the ferroelectric nematic phase. [Dataset]. Liquid crystals [online], Latest Articles. Available from: https://doi.org/10.1080/02678292.2024.2304598

The synthesis and characterisation of two series of ferroelectric nematogens based on RM734 having an additional methoxy group on the central phenyl ring are reported, the 3-methoxy-4-((4-nitrophenoxy)carbonyl)phenyl 2-alkoxy-4-alkoxybenzoates (7-m-n... Read More about The influence of molecular shape and electronic properties on the formation of the ferroelectric nematic phase. [Dataset].