Investigation of the effect of extrusion process parameters and filler loading on the performance of LDPE composites reinforced with eggshell powder by Yasith S. Perera, Mohammad Naaib, Nisal Ariyasinghe, Chamil Abeykoon

“…Proper selection of extrusion parameters and filler loading is crucial in achieving composites with desired performance while optimising the extrusion process. Hence, the aim of this study is to investigate the effect of extruder parameters and filler loading on the mechanical, thermal, and rheological properties of low-density polyethylene (LDPE) composites reinforced with eggshell powder, and motor power consumption of the extruder, which should aid in optimising the melt blending process. …”
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Role of Focusing Distance in Picosecond Laser-Induced Cu Plasma Spectra by Linyu Chen, Hu Deng, Zhixiang Wu, Zhonggang Xiong, Jin Guo, Quancheng Liu, Akwasi Danso Samuel, Liping Shang

“…Finally, the assumed LTE is validated by McWhirter relation, plasma relaxation time, and diffusion length, and the optically thin condition was also validated by spectral intensity ratio. …”
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Research progress on preparation methods of polyvinylidene by Lijuan YAN, Yajing XUN, Kunru MA, Yunlan SUN

“…Their preparation principles, application scenarios, advantages and disadvantages were described, the challenges of PVDF modified energetic materials were further pointed out, and the key directions for future research were proposed:1) safety improvements; 2) green technologies; 3) nanomaterial optimisation; 4) multi-scale design; 5) innovative coating methods; and 6) insight into reaction mechanisms.…”
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Post-processing methods for delay embedding and feature scaling of reservoir computers by Jonnel Jaurigue, Joshua Robertson, Antonio Hurtado, Lina Jaurigue, Kathy Lüdge

“…The use of multi-random-timeshifting allows for smaller reservoirs while maintaining large feature dimensions, is computationally cheap to optimise, and is our preferred post-processing method. …”
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Evaluating the use of blockchain technology and identifying critical success factors for the successful implementation of renewable energy projects in sub-Saharan Africa by Love Opeyemi David, Nnamdi Ikechi Nwulu, Clinton Ohis Aigbavboa, Adeyemi Adepoju, Omoseni Oyindamola Adepoju

“…The study concludes that optimising Renewable Energy with Blockchain technology requires balancing social and technical systems based on sociotechnical system theory.…”
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Optimized Deep Belief Network for Efficient Fault Detection in Induction Motor by Pradeep Katta, K. Karunanithi, S. P. Raja, S. Ramesh, S. Vinoth John Prakash, Deepthi Joseph

“…As a result, research has concentrated on developing novel methods for the quick and accurate identification of induction motor problems.In response to these needs, this paper provides an optimised algorithm for analysing the performance of an induction motor. …”
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Predictive biomarkers of performance under stress: a two-phase study protocol to develop a wearable monitoring system by Cassandra Pattinson, Graham Kerr, Simon S Smith, Chamindie Punyadeera, Ian Stewart, Kerrie Mengersen, Karen A Sullivan, Jonathan M Flintoff, Sarah Ahamed, Shahnewaz Ali, Angus Bagley, Daniel Broszczak, Blair Crewther, Louis de Waal, Shannon L Edmed, Tharindu Fernando, Clinton Fookes, Francesca D Frentiu, Andrew P Hunt, Ottmar V Lipp, Ben McMaster, Luke Ney, Senn L Oon, Ajay Pandey, Parth Pandit, Jonathan M Peake, Muthukuttige Madusha Nuwanthi Perera, Virginie Perlo, Luke Schmidt, Kirsten Spann, Danielle Young, Tony J Parker

“…Understanding and predicting individual responses to common stressors is essential for optimising performance in high-stress environments. …”
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Spatially controlled multicellular differentiation of stem cells using triple factor-releasing metal–organic framework-coated nanoline arrays by Yeon-Woo Cho, Min-Ji Kang, Joon-Ha Park, Yun-Sik Eom, Tae-Hyung Kim

“…The arrays comprise nanohole and nanoline arrays fabricated through interference lithography and selectively capture of UiO-67 metal–organic frameworks on nanoline arrays with a 99.8% efficiency using an optimised asymmetric spin-coating method. The UiO-67 metal–organic frameworks contain three osteogenic differentiation factors for sustained release over four weeks. …”
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Influence of Cylindrical Shield Dimensions on Shielding Effectiveness by O. D. Kanafyev, A. V. Trukhanov, T. I. Zubar, S. S. Grabchikov, M. I. Panasiuk, A. N. Kotelnikova, V. A. Fedkin, V. M. Fedosyuk

“…Study of dimensional parametersʼ influence on shielding properties of cylindrical shields will allow to optimise the fusion process, as well as to reduce production costs by reducing the material used. …”
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Application and Development of Enhanced Chaotic Grasshopper Optimization Algorithms by Akash Saxena, Shalini Shekhawat, Rajesh Kumar

“…This paper presents an application of chaotic maps to improve the bridging mechanism of Grasshopper Optimisation Algorithm (GOA) by embedding 10 different maps. …”
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Image Registration Using the Arithmetic Optimization Algorithm for Robotic Visual Servoing by Mohamed Kmich, Inssaf Harrade, Hicham Karmouni, Mhamed Sayyouri, S. S. Askar, Mohamed Abouhawwash

“…The proposed algorithm, Intensity-Based Image Registration via Arithmetic Optimisation Algorithm (IBIRAOA), is robust to image data fluctuations and perturbations and can avoid local optima. …”
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Managing diabetes in the psychiatric in-patient setting: knowledge, attitudes and skills of healthcare professionals by Zoe Goff, Vishal Sharma, Ioana Varvari

“…This national survey highlights areas that need to be addressed to optimise diabetes care in this setting. …”
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Rethinking Autonomous and Robotic Systems in Residential Architecture by Sotirios Kotsopoulos, Jason Nawyn

“…Informed by twenty years of hands-on experimentation with autonomous and robotic systems in home prototypes at the Massachusetts Institute of Technology, this study provides insight into the motivations and values of integrating computing technologies in residential architecture. Although optimising home adaptability for energy efficiency, ergonomics, and climate control are shown to have benefits, applications intended to influence human behaviour remain questionable. …”
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Using neuroevolution for designing soft medical devices by Hugo Alcaraz-Herrera, Michail-Antisthenis Tsompanas, Igor Balaz, Andrew Adamatzky

“…The actuator morphologies discovered by algorithms like Age-Fitness Pareto Optimisation, NeuroEvolution of Augmenting Topologies (NEAT), and Hypercube-based NEAT (HyperNEAT) were compared based on the maximum displacement reached and their robustness against various control methods. …”
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Vibration Control by Means of Piezoelectric Actuators Shunted with LR Impedances: Performance and Robustness Analysis by M. Berardengo, A. Cigada, S. Manzoni, M. Vanali

“…This work investigates different algorithms that can be employed to optimise the values of the electric components of the shunt impedance. …”
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Machine Learning-Based Scrap Steel Price Forecasting for the Northeast Chinese Market by Bingzi Jin, Xiaojie Xu

“…In this instance, Gaussian process regression methods are created using Bayesian optimisation approaches and cross-validation processes, and the resulting price forecasts are constructed. …”
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Integration of blockchain and artificial intelligence as a mechanism for modernisation of various economic sectors by N. A. Kashevarova, M. E. Kulikova

“…The authors analyse the possibilities of using this technological merger to optimise business processes, increase transparency and reduce transaction costs in different sectors, including finance, healthcare, transport, energy, etc. …”
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An Analysis of the Optimal Multiobjective Inventory Clustering Decision with Small Quantity and Great Variety Inventory by Applying a DPSO by Shen-Tsu Wang, Meng-Hua Li

“…The present study applies DPSO (dynamic particle swarm optimisation) to a problem of clustering of inventory items. …”
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Inflammatory Signalling Associated with Brain Dead Organ Donation: From Brain Injury to Brain Stem Death and Posttransplant Ischaemia Reperfusion Injury by Ryan P. Watts, Ogilvie Thom, John F. Fraser

“…Brain death is associated with dramatic and serious pathophysiologic changes that adversely affect both the quantity and quality of organs available for transplant. To fully optimise the donor pool necessitates a more complete understanding of the underlying pathophysiology of organ dysfunction associated with transplantation. …”
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Macronutrient-Based Predictive Modelling of Bioconversion Efficiency in Black Soldier Fly Larvae (<i>Hermetia illucens</i>) Through Artificial Substrates by Laurens Broeckx, Lotte Frooninckx, Siebe Berrens, Sarah Goossens, Carmen ter Heide, Ann Wuyts, Mariève Dallaire-Lamontagne, Sabine Van Miert

“…This study explores the optimisation of rearing substrates for black soldier fly larvae (BSFL). …”
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