Results 91 to 100 of about 2,356,418 (271)

A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data

Advanced Engineering Materials, EarlyView.
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour, Prithwish Tarafder, Anton Wiberg, Huanyu Li, Johan Moverare, Patrick Lambrix   +5 more
wiley   +1 more source

Microstructure Evolution of a VMnFeCoNi High‐Entropy Alloy After Synthesis, Swaging, and Annealing

Advanced Engineering Materials, EarlyView.
The synthesis and processing (rotary swaging and annealing) of the novel VMnFeCoNi alloy is investigated, alongside the estimation of the grain size effect on hardness. Analysis of a wide grain size range of recrystallized microstructures (12–210 µm) reveals a low annealing twin density.
Aditya Srinivasan Tirunilai, Zeki Ayrildi, Buse Şen, Maik Rajkowski, Mathias Redondo Garcia, Markus Stricker, Guillaume Laplanche   +6 more
wiley   +1 more source

An investigation into the adoption of CDIO in distance learning [PDF]

, 2008
The Conceive, Design, Implement and Operate Initiative (CDIO) uses integrated learning to develop deep learning of the disciplinary knowledge base whilst simultaneously developing personal, interpersonal, product, process and system building skills. This
Brodie, Lyn, Endean, Mark, Ferguson, Clive, Goodhew, Peter, Palmer, Stuart   +4 more
core  

Photoswitchable Conductive Metal–Organic Frameworks

Advanced Functional Materials, EarlyView.
A conductive material where the conductivity can be modulated remotely by irradiation with light is presented. It is based on films of conductive metal–organic framework type Cu3(HHTP)2 with embedded photochromic molecules such as azobenzene, diarylethene, spiropyran, and hexaarylbiimidazole in the pores.
Yidong Liu, Mersad Mostaghimi, Abhinav Chandresh, Saibal Jana, Wolfgang Wenzel, Lars Heinke   +5 more
wiley   +1 more source

Response of Bambara groundnut (Vigna subterranean L.) and Maize (Zea mays L.) to heavy metal stress

Beni-Suef University Journal of Basic and Applied Sciences, 2019
Background Plants are usually the target of environmental pollution. This study, therefore, investigates the effects of Zinc (Zn) and lead Pb on Bambara nut (Vigna subterranean) and Maize (Zea mays) at different concentrations, as well as the possible ...
E. O. Oladele, O. O. Adewumi, T. Yahaya, I. A. Taiwo   +3 more
doaj   +1 more source

3D (Bio) Printing Combined Fiber Fabrication Methods for Tissue Engineering Applications: Possibilities and Limitations

Advanced Functional Materials, EarlyView.
Biofabrication aims at providing innovative technologies and tools for the fabrication of tissue‐like constructs for tissue engineering and regenerative medicine applications. By integrating multiple biofabrication technologies, such as 3D (bio) printing with fiber fabrication methods, it would be more realistic to reconstruct native tissue's ...
Waseem Kitana, Indra Apsite, Leonid Ionov   +2 more
wiley   +1 more source

Learning about Chinese-speaking cultures at a distance [PDF]

, 2011
This chapter focuses on the challenges posed by curriculum choices and pedagogical frameworks to the study of Languages of the Wider World in the UK. These languages reflect complex linguistic and cultural realities that do not fit into the traditional ...
Álvarez, Inma
core  

Electroactive Metal–Organic Frameworks for Electrocatalysis

Advanced Functional Materials, EarlyView.
Electrocatalysis is crucial in sustainable energy conversion as it enables efficient chemical transformations. The review discusses how metal–organic frameworks can revolutionize this field by offering tailorable structures and active site tunability, enabling efficient and selective electrocatalytic processes.
Irena Senkovska, Yutong Luo, Ruyan Zhao, Jianjun Zhang, Mingchao Wang, Xinliang Feng, Eike Brunner, Stefan Kaskel   +7 more
wiley   +1 more source

Impact of confrontation to patient suffering and death on wellbeing and burnout in professionals: a cross-sectional study

BMC Palliative Care
Background Palliative care and oncology generate a risk of burnout and psychological distress in professionals. The purpose of this study is to identify both psychopathological and positive factors related to mental health at work. It aims (i) to explore
Anne-Catherine Delafontaine, Royce Anders, Bernard Mathieu, Cornelia Rolli Salathé, Benjamin Putois   +4 more
doaj   +1 more source

Sliced Wasserstein Distance for Learning Gaussian Mixture Models

, 2017
Gaussian mixture models (GMM) are powerful parametric tools with many applications in machine learning and computer vision. Expectation maximization (EM) is the most popular algorithm for estimating the GMM parameters.
Hoffmann, Heiko, Kolouri, Soheil, Rohde, Gustavo K.   +2 more
core   +1 more source