Results 101 to 110 of about 317 (167)
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen +8 more
wiley +1 more source
ABSTRACT How do governance quality and corruption jointly shape sustainable development? We analyze an unbalanced panel of 38 Sub‐Saharan African countries (2002–2021) employing PCSE and FGLS estimators. The model also includes controls for health expenditure, digitalization, unemployment, trade openness, and GDP.
Deniz Erenel +2 more
wiley +1 more source
ABSTRACT By the mid‐21st century, the global economic system had not yet fully solved the problem of hunger. Therefore, achieving SDG 2 (Zero Hunger), one of the UN's Sustainable Development Goals (SDGs), is crucial. This study therefore aims to examine the factors that may lead to hunger in seven selected Asian countries (Afghanistan, Bangladesh ...
Ali Çelik +3 more
wiley +1 more source
ABSTRACT Integrating eco‐design practices in product development from the start is essential for fashion accessories like bags and backpacks, which involve complex manufacturing, diverse materials, and strong socio‐cultural meanings. Building on this premise and drawing from the Lifecycle Design Strategy Wheel, this study aims to characterize the eco ...
Francesco Paolo Lagrasta +2 more
wiley +1 more source
FEWT: Frequency‐Enhanced Wavelet‐Based Transformer for Multimodal Wheeled Bimanual Manipulation
An embodied mobile bimanual robot learns dexterous manipulation skills through imitation learning with multimodal perception. The integration of vision, proprioception, and tactile sensing establishes a comprehensive perception–action loop, enabling the robot to continuously understand, interact with, and adapt to complex physical environments.
Jiaxin Huang +6 more
wiley +1 more source
Conventional industrial robots rely on predefined workflows and struggle to adapt to changing tasks and uncertain manufacturing environments. This review examines the development and key technologies of embodied intelligent industrial robots (EIIRs), highlighting a closed‐loop architecture that integrates human and industrial inputs, embodied ...
Jie Wang +7 more
wiley +1 more source
Abrasion of few‐layer graphene (FLG)–epoxy composites generated respirable particles in which FLG remained fully embedded, as confirmed by correlative HR‑TEM, Raman, and ToF‑SIMS analyses. Advanced lung cell models revealed no cytotoxic or inflammatory responses, and only high‑dose epoxy particles reduced mucociliary clearance.
Govind Gupta +20 more
wiley +1 more source
ABSTRACT The Allais Paradox is often attributed to the strong attraction of a certain option that avoids a downside risk, i.e., a small chance of a low payoff. In contrast, there is clear evidence from laboratory and field data that people are attracted to the upside risk of obtaining a relatively high payoff.
Irene Comeig, Charles Holt
wiley +1 more source
A comprehensive framework using five complementary metrics: macroetch assessment, 2D SMXRF mapping, 1D composition profiles, the segregation coefficient (Sc), and the maximum segregation value (Vmax) is presented for evaluating centerline macrosegregation in continuously cast steel slabs.
Araf Al Rafi +5 more
wiley +1 more source
Abstract Microplastic input into the ocean represents an increasing threat to marine biota and may endanger the functioning of marine ecosystems, especially in semi‐enclosed basins, such as the Mediterranean Sea. The size spectrum of microplastics overlaps with that of nano‐microplankton (2–200 μm), thus potentially misleading suspension‐feeding ...
Claudia Traboni +3 more
wiley +1 more source

