Results 81 to 90 of about 5,195 (203)
The [3+2] cycloaddition (32CA) reaction of an azomethine ylide (AY) with an electrophilic ethylene linked to triazole and ferrocene units has been studied within the Molecular Electron Density Theory (MEDT) at the ωB97X-D/6-311G(d,p) level.
Luis R. Domingo +2 more
doaj +1 more source
ERAWATCH Country Reports 2013: Slovenia [PDF]
The Analytical Country Reports analyse and assess in a structured manner the evolution of the national policy research and innovation in the perspective of the wider EU strategy and goals, with a particular focus on the performance of the national ...
BUCAR Maja, UDOVIC Boštjan
core +1 more source
Reforming of steam, production of syngas from biomass sources, and efficient utilization of excess solid waste generated during the biomass process by harnessing solar energy. ABSTRACT Minimizing the detrimental effects of global warming and pollution from fossil fuel consumption is essential to meet the growing demand for energy and fresh water ...
Milad Imandoust +4 more
wiley +1 more source
A methodology based on the concepts that arise from Density Functional Theory (CDFT) was chosen for the calculation of the global and local reactivity descriptors of the Phallotoxin family of fungal peptides. The determination of the active sites for the
Norma Flores-Holguín +2 more
doaj +1 more source
This paper provides a systematic summary and reference for researchers in related fields, and we look forward to designing more efficient and stable medical image segmentation network models based on the U‐Net network. ABSTRACT Medical images often exhibit low and blurred contrast between lesions and surrounding tissues, with considerable variation in ...
Wang Jiangtao +2 more
wiley +1 more source
A Review of Deep Learning‐Based Medical Image Segmentation
Comprehensive overview of supervised medical image segmentation using deep learning. Summary of technological innovations and empirical results. Exploration of future research directions for deep learning‐based medical image segmentation. ABSTRACT Medical image segmentation, the process of precisely delineating regions of interest (e.g. organs, lesions,
Xinyue Zhang +3 more
wiley +1 more source
This paper presents a new formula which is conjectured to yield all tree amplitudes in N=8 supergravity. The amplitudes are described in terms of higher degree rational maps to twistor space. The resulting expression has manifest N=8 supersymmetry and is
David Skinner, E. Witten, Freddy Cachazo
core +1 more source
A novel automatic segmentation method is proposed for improving the spatial consistency of scattered multiple sclerosis (MS) lesions in variant appearances. Incorporating spatial correlation learning and global context learning across different image features can further improve the spatial distinction of MS lesions in MRI and help us to classify their
Zhanlan Chen +4 more
wiley +1 more source
Three-way symbolic tree-maps and ultrametrics [PDF]
Three-way dissimilarities are a generalization of (two-way) dissimilarities which can be used to indicate the lack of homogeneity or resemblance between any three objects.
A AHO +19 more
core +1 more source
A novel lightweight medical image segmentation model, SUNeXt, is proposed, which is capable of capturing both local details and global context of an image by constructing the efficient SNeXt blocks. The proposed grouped multi‐scale feature fusion (GMFF) module employs an innovative grouping strategy to comprehensively capture multi‐scale features ...
Cong Chen +4 more
wiley +1 more source

