Harris Hawk Optimization Combined with Differential Evolution for the Estimation of Solar Cell Parameters by Francelin Edgar Ndi, Steve Ngoffe Perabi, Salome Essiane Ndjakomo, Gregoire Ondoua Abessolo

“…This paper presents a mix of differential evolution (DE) and Harris hawk optimisation (HHO). The suggested technique estimates the parameter vector that minimises the objective function to the greatest extent possible. …”
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A Comparative Analysis of Standardised Threads for Use in Implants for Direct Skeletal Attachment of Limb Prosthesis: A Finite Element Analysis by Piotr Prochor, Eugeniusz Sajewicz

“…Moreover, shallow thread ensured the generation of single equivalent and directional stress peaks, while symmetrical and asymmetrical threads provided additional stress peak for equivalent as well as for each of directional peaks. Subsequently, optimisation of the shallow thread’s shape was conducted by changing two relevant thread’s parameters (flank angle and rounding arc) which influence the generated stress distribution. …”
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Nanobody engineering: computational modelling and design for biomedical and therapeutic applications by Nehad S. El Salamouni, Jordan H. Cater, Lisanne M. Spenkelink, Haibo Yu

“…In this comprehensive review, we discuss the structural characteristics, functional properties, and computational approaches driving the design and optimisation of synthetic nanobodies. We explore their unique antigen‐binding domains, highlighting the critical role of complementarity‐determining regions in target recognition and specificity. …”
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Effect of alloy composition on machining parameters and surface quality through comprehensive analysis by Shailesh Rao A., Srilatha Rao

“…The results enhance comprehension of machined surface attributes, facilitating the optimisation of machining operations for various materials.…”
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Field—Based Supercritical Fluid Extraction of Hydrocarbons at Industrially Contaminated Sites by Peggy Rigou, Steven John Setford, Selwayan Saini

“…Under optimised conditions, the device yielded recovery efficiencies of >70% with RSD values of 4% against the standard EPA Soxhlet method, compared with a mean recovery efficiency of 48% for a commercially available field-extraction kit. …”
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Epigenetic Drug Interventions in Breast Cancer: A Narrative Review of Current Research and Future Directions by Sarah Bibi Mungly, Evelyn Priya Peter, Ling-Wei Hii, Chun-Wai Mai, Felicia Fei-Lei Chung

“…We review the challenges associated with the translation of these findings into improved patient outcomes, namely the optimisation of dosage and treatment regimens, and the emergence of resistance. …”
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Scientific discussion on the essence of state financial regulation of socio-economic inequality in modern conditions by M. L. Dorofeev

“…Regulators should pay particular attention to the top 10 % of the population, for whom there are now many opportunities for tax optimisation and avoidance, with the result that even theoretically effective progressive tax systems do not work properly in practice. …”
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A Collection of Machine Learning Models for Improved Airport Operations Amidst Adverse Weather Conditions by Ramon Dalmau, Jonathan Attia

“…It enables operational optimisation and the development of strategic plans to mitigate the effects of increasing weather-related disruptions. …”
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Development of a Theoretical Delay Model for Heterogeneous and Less Lane-Disciplined Traffic Conditions by Abdhul Khadhir, Ashish Bhaskar, Lelitha Vanajakshi, Md. Mazharul Haque

“…The developed model is used for signal optimisation under HLLD traffic conditions and reductions of up to 24% in control delay in comparison to the in-practice signal timing approach are observed. …”
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A hydraulic track drive systems resistive force simulation: Considerations for system electrification by Hugh Coyle, Charles Young, Nicola Anderson, Lee Johnston, Robert Gilmour

“…Potential areas for further investigation include battery optimisation, advancements in electric motor technology, and hybrid solutions that bridge hydraulic and fully electric systems.…”
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A Roller Bearing Fault Diagnosis Method Based on LCD Energy Entropy and ACROA-SVM by HungLinh Ao, Junsheng Cheng, Kenli Li, Tung Khac Truong

“…This study investigates a novel method for roller bearing fault diagnosis based on local characteristic-scale decomposition (LCD) energy entropy, together with a support vector machine designed using an Artificial Chemical Reaction Optimisation Algorithm, referred to as an ACROA-SVM. …”
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Electric Vehicles in Last-Mile Delivery: A Bibliometric Review by Eric Mogire, Peter Kilbourn, Rose Luke

“…These include charging infrastructure optimisation, electric micro-mobility innovations, and integration in urban environments, alongside the social and ethical implications of electric vehicle adoption for last-mile delivery.…”
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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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Unlocking the potential of hydrogen deuterium exchange via an iterative continuous-flow deuteration process by Kevin Tatoueix, Marco Lepron, Cédric Barboux, Marie-Christine Scherrmann, Grégory Pieters, Sophie Feuillastre

“…While hydrogen deuterium exchange (HDE) methods hold promise as relevant tools for the late-stage and one-step preparation of deuterium-labelled compounds, they often fall short in achieving sufficient isotopic purity combined either with a site-selectivity or with a full deuteration process, highlighting the need for further development and optimisation. This report pinpoints an approach to unlock the potential of HDE using the concept of iterative runs in continuous-flow technology (recirculation process). …”
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Longwall Mining Stability in Take-Off Phase by María-Belén Prendes-Gero, José Alcalde-Gonzalo, Pedro Ramírez-Oyanguren, Francisco-José Suárez-Domínguez, Martina-Inmaculada Álvarez-Fernández

“…This work aims to contribute to an advance in the design and optimisation of the roof support in longwall mining, analysing the stability of the roof using a method based on the resistance of materials, which considers the characteristics of the properties of the roof materials. …”
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Exploring the Impact of Irrigation on Chinaʼs Crop TFP: Insights From a Structural Break Analysis by Tiantian Zhou, Xingshuo Liu, Siying Jia, Yu Sheng

“…This suggests potential over‐investment or inefficient allocation of resources in recent years, highlighting the need for better optimisation of public investment to sustain productivity gains in agriculture.…”
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Spectrally compatible multiple‐input multiple‐output radar waveform design based on alternating direction method of multipliers by Rui Yang, Hong Jiang, Qi Zhang, Liangdong Qu

“…Different from the existing alternating direction method of multipliers (ADMM) proposed in a single‐antenna scenario, a novel ADMM algorithm for spectrally compatible MIMO radar waveform design is proposed to efficiently tackle the non‐convex optimisation problem in both single‐antenna and multi‐antenna scenarios. …”
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Impact of digital greening synergistic transformation on urban economic resilience in China: Evidence from quasi-natural experiments by Liangen Zeng, Meiyu Wen, Chengming Li, Yang Nie, Saige Wang

“…The main findings are as follows. (1) DGST notably enhances urban economic resilience, showing stronger effects than standalone pilot projects. (2) DGST strengthens economic resilience by enhancing defence, adaptation and learning capacities through labour absorption, industrial structure optimisation and green technology innovation. (3) The effect of DGST on economic resilience is influenced by factors such as human capital, financial resources and infrastructure, with cities possessing greater resources deriving more substantial benefits. (4) Cities that implemented ‘Low-Carbon Cities’ prior to ‘Broadband China’ experienced more pronounced improvements in economic resilience. …”
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Radial and Sigmoid Basis Function Neural Networks in Wireless Sensor Routing Topology Control in Underground Mine Rescue Operation Based on Particle Swarm Optimization by Mary Opokua Ansong, Hong-Xing Yao, Jun Steed Huang

“…Particle swarm optimisation with adaptive mutation was used to train the neurons. …”
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Observation of Zenneck-Like Waves over a Metasurface Designed for Launching HF Radar Surface Wave by Florent Jangal, Nicolas Bourey, Muriel Darces, François Issac, Marc Hélier

“…We report here an experiment done during the optimisation of the transmitting antennas for Surface Wave Radars. …”
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