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integral constraints
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5 articles
Article 11 Jan 2026
John C. G. Lee, Yeney Widya Prihatiningtias, Febryanti Simon and Samantha Siu Ling Lee
Indonesia’s National Free Meals Programme (NFMP) faces systemic challenges of fragmented implementation across agricultural, educational, and logistical sectors. These systemic challenges are compounded by inequitable reach in its archipelagic geography, where rural infrastructure gaps exacerbate disparities.
Indonesia’s National Free Meals Programme (NFMP) faces systemic challenges of fragmented implementation across agricultural, educational, and logistical sectors. These systemic challenges are compounded by inequitable reach in its archipelagic geography, where rural infrastructure gaps exacerbate disparities. This study examines these issues through an integrated theoretical framework—combining Policy Transfer, Multi-stakeholder Governance, and Sustainable Livelihoods theories—using a mixed-methods approach that synthesises global policy benchmarks, peer-reviewed literature, and Sustainable Development Goal (SDG) alignment metrics. Key findings identify governance fragmentation, supply chain inefficiencies (notably 15–20% food spoilage in eastern regions), and digital divides as critical constraints. The research proposes a three-tiered intervention framework: (1) geospatially tailored procurement mechanisms; (2) incentivised corporate partnerships for cold-chain infrastructure; and (3) co-created R&D for climate-resilient crops. These strategies synergistically advance SDG 1 (Poverty Reduction), SDG 2 (Zero Hunger), and SDG 4 (Quality Education), demonstrating potential for farmer income gains, reduced child stunting, and improved school attendance. The study contributes to theoretical debates on adaptive policy transfer and offers Indonesia a scalable blueprint for integrated food-security transformation in archipelagic contexts.
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193 Views49 Downloads
Article 26 Nov 2025
Kurt Orkun Aktaş, Ajda Zaim, Özlem Nur Aslantamer, Gözen Güner Aktaş and Hüseyin Emre Ilgın
Highlights of Sustainability
Volume 4 (2025), Issue 4, pp. 256–284
Volume 4 (2025), Issue 4, pp. 256–284
649 Views113 Downloads
Article 9 Sep 2024
Joris Jaguemont, Ali Darwiche and Fanny Bardé
Highlights of Vehicles
Volume 2 (2024), Issue 2, pp. 24–34
Volume 2 (2024), Issue 2, pp. 24–34
2079 Views1311 Downloads
Article 7 Feb 2024
Tsz Hin Hui, Nadine Itani and John F. O’Connell
Highlights of Sustainability
Volume 3 (2024), Issue 1, pp. 61–75
Volume 3 (2024), Issue 1, pp. 61–75
8807 Views4051 Downloads7 Citations
Article 26 Jul 2023
Maksym Diachuk and Said M. Easa
Highlights of Vehicles
Volume 1 (2023), Issue 1, pp. 29–53
Volume 1 (2023), Issue 1, pp. 29–53
3562 Views1020 Downloads2 Citations
Article 26 Jul 2023
Maksym Diachuk and Said M. Easa
The study aims at improving the technique of planning the autonomous vehicles’ (AV) speed mode based on a kinematic model with physical restrictions. A mathematical model relates the derivatives of kinematic parameters with ones of the
The study aims at improving the technique of planning the autonomous vehicles’ (AV) speed mode based on a kinematic model with physical restrictions. A mathematical model relates the derivatives of kinematic parameters with ones of the trajectory’s curvature. The inverse approach uses an expanded vehicle model considering the distribution of vertical reactions, wheels’ longitudinal reactions according to a drive type, and lateral forces ensuring motion stability. For analysis of the drive type, four options are proposed: front-wheel drive (FWD), rear-wheel drive (RWD), permanent engaged all-wheel drive (AWD), and 4-wheel drive with torque vectoring (4WD-TV). The optimization model is also built by the inverse scheme. The longitudinal speed’s higher derivatives are modeled by the finite element (FE) functions with nodal unknowns. The sequential integrations ensure the optimality and smoothness of the third derivative. The kinematic restrictions are supplemented by the tire-road critical slip states. Sequential quadratic programming (SQP) and the Gaussian N-point scheme for quadrature integration are used to minimize the objective function. The simulation results show a significant difference in the mode forecasts between four types of AV drives at the same initial conditions. This technique allows redistributing the traction forces strictly according to the wheels’ adhesion potentials and increases the optimization performance by about 40% compared to using the kinematic model based on the same technique without physical constrains.
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Highlights of Vehicles
Volume 1 (2023), Issue 1, pp. 29–53
Volume 1 (2023), Issue 1, pp. 29–53
3562 Views1020 Downloads2 Citations
Volume 5 (2026), Issue 1, pp. 1–14