Results 111 to 120 of about 138,377 (295)
This document is part of a digital collection provided by the Martin P. Catherwood Library, ILR School, Cornell University, pertaining to the effects of globalization on the workplace worldwide.
China Labor Watch
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A Bottom‐Up Design Framework for Multifunctional Lattice Metamaterials
This study introduces a generative AI framework for designing multifunctional lattice metamaterials. The method combines 3D Gaussian voxel generation with deep learning, enabling greater design freedom and structural performance. The optimized lattice metamaterials achieve enhanced energy absorption by 40–200% compared to conventional structures and ...
Zongxin Hu +13 more
wiley +1 more source
Designing Scalable Mechano‐Virucidal Nanostructured Acrylic Surfaces for Enhanced Viral Inactivation
Can a surface be designed to physically break viruses? This study explores how nanoscale geometry—specifically the spacing of tiny pillars—can determine whether viruses remain intact or rupture. Using flexible acrylic and a scalable fabrication process, the authors develop nanopillared, transparent surfaces that show strong antiviral activity without ...
Samson W. L. Mah +14 more
wiley +1 more source
Supplier base management : the contrast between Germany and the UK [PDF]
Supplier base management is an important aspect of the management of manufacturing operations, as reducing the number of suppliers – the supplier base – is a key approach in many companies including the US and the UK.
Goffin, Keith +5 more
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The ultrathin (2.5 nm) MXene film self‐assembled at liquid interfaces breaks the trade‐off between transparency (82.5 %) and photothermal conversion effect (DT∼25.1°C ± 2.9 °C) under 100 mW cm−2. After encapsulated by a slippery surface with low adhesion, this transparent film can be applied in smart windows, eyewear, and optical sensors to autonomous ...
Xiao Han +6 more
wiley +1 more source
Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source
A data‐driven strategy integrating quantum machine learning (QML) and high‐throughput computing overcomes hot‐cracking limitation to design a novel lightweight aluminum‐based entropy alloy for additive manufacturing. The fabrication transforms brittle intermetallics into deformable hierarchical nanostructures, yielding ultrastrong strength (>1 GPa) and
Enmao Wang +6 more
wiley +1 more source
Supply Chain Structure, Inventory Turnover, and Financial Performance: Evidence from Manufacturing Companies in China [PDF]
Using data collected by the World Bank, we empirically investigate the relationship between Chinese manufacturers’ supply chain attributes, raw material and finished goods inventory turnover, and return on sales.
Chi, Wei +3 more
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Increasing the density and homogeneity of soft magnetic composites are critical for achieving high power density and low core loss. This work proposes a novel strategy by combining ultrasonic‐assisted pressing and cold pressing. In this line, the density and permeability of magnetic core have been increased a lot, while the core loss is decreased ...
Xiaoying Huang +15 more
wiley +1 more source
Novel Approach to Diagnose Safe Electrical Power Distribution
The integrity of the 12Vdc power distribution system on a vehicle is essential to guarantee continuous power supply to safety-relevant consumers. Safety-relevant consumers are critical loads, for example, electric power steering, braking systems with ...
Lars Braun +3 more
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