425 research outputs found
Bone in vivo: Surface mapping technique
Bone surface mapping technique is proposed on the bases of two kinds of
uniqueness of bone in vivo, (i) magnitude of the principal moments of inertia,
(ii) the direction cosines of principal axes of inertia relative to inertia
reference frame. We choose the principal axes of inertia as the bone coordinate
system axes. The geographical marks such as the prime meridian of the bone in
vivo are defined and methods such as tomographic reconstruction and boundary
development are employed so that the surface of bone in vivo can be mapped.
Experimental results show that the surface mapping technique can both reflect
the shape and help study the surface changes of bone in vivo. The prospect of
such research into the surface shape and changing laws of organ, tissue or cell
will be promising.Comment: 9 pages, 6 figure
Contrastive Prompt Learning-based Code Search based on Interaction Matrix
Code search aims to retrieve the code snippet that highly matches the given
query described in natural language. Recently, many code pre-training
approaches have demonstrated impressive performance on code search. However,
existing code search methods still suffer from two performance constraints:
inadequate semantic representation and the semantic gap between natural
language (NL) and programming language (PL). In this paper, we propose CPLCS, a
contrastive prompt learning-based code search method based on the cross-modal
interaction mechanism. CPLCS comprises:(1) PL-NL contrastive learning, which
learns the semantic matching relationship between PL and NL representations;
(2) a prompt learning design for a dual-encoder structure that can alleviate
the problem of inadequate semantic representation; (3) a cross-modal
interaction mechanism to enhance the fine-grained mapping between NL and PL. We
conduct extensive experiments to evaluate the effectiveness of our approach on
a real-world dataset across six programming languages. The experiment results
demonstrate the efficacy of our approach in improving semantic representation
quality and mapping ability between PL and NL
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