Implementing reusable packaging systems: Lessons from industry See

Despite corporate pledges, reliance on singleuse plastics continues to grow (Greenpeace, 2018). In 2023, plastic production reached 413.8mT (Plastics Europe, 2024), with a predicted 152.5mT attributed to plastic packaging (OECD, 2022). An estimated 50% of plastic packaging enters landfill each ye...

The isothiocyanate sulforaphane modulates platelet function and protects against cerebral thrombotic dysfunction See

Background and Purpose: Platelet activation provides a critical link between inflammation and thrombosis. Sulforaphane (SFN), a naturally occurring isothiocyanate, has been shown to display both anti-inflammatory and anti-thrombotic actions in the systemic microvasculature. As inflammation promotes thrombosis a...

Effects of Fe Content and Natural Ageing on Microstructure and Mechanical Properties of Recyclable Al5.5Mg2Si Die-Cast Alloys Assisted with Machine Learning See

Effects of Fe content and natural ageing (NA) on microstructure and mechanical properties of Al5.5Mg2SixFe (x = 0.12, 0.3, and 0.6, in wt%) heat treatment-free die-cast alloys are investigated in assistance with machine learning (ML). The main intermetallics in the alloys include β-Mg2Si and...

ENHANCING OPERATIONAL EFFICIENCY IN MUMBAI’S AIRPORT DEPARTURE TERMINAL: A HYBRID SIMULATION MODELING APPROACH See

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DAF-DETR: A dynamic adaptation feature transformer for enhanced object detection in unmanned aerial vehicles See

Object detection in complex environments is challenged by overlapping objects, complex spatial relationships, and dynamic variations in target scales. To address these challenges, the Dynamic Adaptation Feature DEtection TRansformer (DAF-DETR) is proposed as a novel transformer-based model optimized for&#x...

Proportional-Integral-Observer-Based Fusion Estimation for Artificial Neural Networks: Implementing a One-Bit Encoding Scheme See

This article is concerned with the proportional-integral-observer (PIO)-based fusion estimation problem for a class of artificial neural networks (ANNs) equipped with multiple sensors, which are constrained by bandwidth and subjected to unknown-but-bounded noises (UBBNs). For the purpose of efficient ...

Investigation on the integrated approach to design and ultraprecision machining of freeform surfaced optics and its implementation perspectives See

Over the last two decades or so, high precision freeform surfaced components and devices have been drawing the increasing attention by the industry due to their potentials in fulfilling demands for various engineering and consumers applications, such as consumer electronics, biomedical engin...

Noise-tolerant fixed-time leader-follower consensus controller design for multi-agent systems via fuzzy-neural-network See

The leader-follower consensus control problem in multi-agent systems (MASs) is critical and has received significant attention. However, the simultaneous achievement of fixed-time stability and robustness is often challenging in MASs due to their inherent complexity and uncertainty. This paper develop...

A Novel Pairwise Domain-Adaptation-Assisted Dual-Task Learning Approach to Coprediction of Robotic Machining Efficiency and Quality in New Parameter Spaces See

Accurate prediction of material removal depth and averaged surface roughness is crucial for evaluating the performance of robotic belt grinding (RBG). Nevertheless, the machining parameters of RBG across different spaces exhibit various data distributions, which often results in prediction shifts ...