Results 191 to 200 of about 8,941,456 (288)

From Nature to Supply Chain: Exploring Biomimicry‐Based Pathways to Sustainability and Competitive Advantage

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Inspired by insights gleaned from biomimicry theory, this paper addresses the persistent lack of theoretically grounded research in sustainable supply chain management (SSCM) and examines how nature‐inspired biomimicry principles could enhance various dimensions of its competitiveness. This study's theoretical contribution lies in its proposal
Susana Garrido, Dominika Brozkova, Carmina Nunes, David Zapletal, Viktor Prokop   +4 more
wiley   +1 more source

PAVSAT: an automated blood vessel analysis tool using deep learning-based segmentation and image processing. [PDF]

BMC Bioinformatics
Ishida R, Hosoe N, Shimizu A, Takara K, Hayashi Y, Lynda L, Kidoya H.   +6 more
europepmc   +1 more source

Heat Load Mitigation Studies in the W7‐X Stellarator Experiment

Contributions to Plasma Physics, EarlyView.
ABSTRACT During the experiments at the stellarator Wendelstein 7‐X (W7‐X) with fully water‐cooled plasma‐facing components (PFC), including carbon‐fiber composite (CFC) divertor targets with a thermal load capability of 10 MW/m2, high performance was achieved.
Dirk Naujoks, Amit Kharwandikar, Jasper Dettmar, Michael Endler, Joris Fellinger, Yu Gao, Joachim Geiger, Marcin Jakubowski, Thomas Sieber, Sebastian Thiede, Christian Voß, W7‐X Team   +11 more
wiley   +1 more source

The Ammann-Kramer-Neri tiling model of a P-ZnMgEr Bergman-type quasicrystal based on in-house X-ray diffraction. [PDF]

Acta Crystallogr B Struct Sci Cryst Eng Mater
Buganski I, Vrtnik S, Jelen A, Luzar J, Strzalka R, Wolny J, Kusz J, Fujita N.   +7 more
europepmc   +1 more source

Dynamic geo‐hydrogeological monitoring‐driven situational awareness for real‐time floor water inrush risk prediction in deep mining

Deep Underground Science and Engineering, EarlyView.
The fused data extracted from the distributed monitoring system as the data basis, combined with dynamic geological data, are imported into a deep learning model. As the geological conditions of mining and excavation change, the risk of water inrush at the working face is retrieved in real time.
Yongjie Li, Huiyong Yin, Fangying Dong, Tao Wu, Chao Zhang   +4 more
wiley   +1 more source

Quantum fluids of light in 2D artificial reconfigurable aperiodic crystals with tailored coupling. [PDF]

Sci Adv
Alyatkin S, Sitnik K, Daníelsson VK, Kartashov YV, Töpfer JD, Sigurðsson H, Lagoudakis PG.   +6 more
europepmc   +1 more source

Oogenesis and germinal bed morphology of the brown anole (A. sagrei)

Developmental Dynamics, EarlyView.
Abstract Background The brown anole is a model species of the genus Anolis, a squamate (encompassing lizards and snakes) group widely studied in evolutionary, behavioral, and developmental biology. Full genome annotation, the establishment of gene editing techniques, and comprehensive description of reproductive tract morphology and embryogenesis in ...
Bonnie K. Kircher, Antonia Weberling, Erin J. Vance, Natalia A. Shylo, Katherine Starr, Zoe B. Griffin, Hannah Wilson, Melainia McClain, Florian Hollfelder, Suzannah A. Williams, Thomas J. Sanger, Richard R. Behringer, Paul A. Trainor   +12 more
wiley   +1 more source

Electrical properties and surface roughness of carbon fibre reinforced polymer under progressive surface abrasion. [PDF]

Data Brief
Osama M, Jones CE, Stephen B.
europepmc   +1 more source

Zebrafish ventral gastrula fate map reveals neural crest progenitor domain

Developmental Dynamics, EarlyView.
Abstract Background Fate maps relate progenitor cell positions to later fates and locations of their progeny, revealing early embryonic organization. Previous zebrafish fate maps identified the origin of germ layers and derivative cell fates, but ventral gastrula progenitor domains were not fully resolved. In particular, the neural crest, a multipotent
Elaine E. Kushkowski, Victoria E. Prince
wiley   +1 more source

An owl-inspired temporal transformer for enhanced shrimp detection in aquatic environments. [PDF]

Sci Rep
Kumar LR, Tata RK, Mahesh TR, Guluwadi S.   +3 more
europepmc   +1 more source