5,279 research outputs found
THE COMPARATIVE STUDY OF MUSCLE FORCES AND EMG PARAMETERS IN TWO FORMS OF THE STRENGTH TRAINING
By a comparative method, the differences and the relationship between the muscle forces and EMG parameters were investigated in two forms of the maximal strength training: the continuous repetition maximum voluntary contraction (MVC) and the interval repetition MVC. This study tried to provide a theoretical foundation and practice reference for the coaches in choosing the means of the strength training scientifically
Joint Multimodal Entity-Relation Extraction Based on Edge-enhanced Graph Alignment Network and Word-pair Relation Tagging
Multimodal named entity recognition (MNER) and multimodal relation extraction
(MRE) are two fundamental subtasks in the multimodal knowledge graph
construction task. However, the existing methods usually handle two tasks
independently, which ignores the bidirectional interaction between them. This
paper is the first to propose jointly performing MNER and MRE as a joint
multimodal entity-relation extraction task (JMERE). Besides, the current MNER
and MRE models only consider aligning the visual objects with textual entities
in visual and textual graphs but ignore the entity-entity relationships and
object-object relationships. To address the above challenges, we propose an
edge-enhanced graph alignment network and a word-pair relation tagging (EEGA)
for JMERE task. Specifically, we first design a word-pair relation tagging to
exploit the bidirectional interaction between MNER and MRE and avoid the error
propagation. Then, we propose an edge-enhanced graph alignment network to
enhance the JMERE task by aligning nodes and edges in the cross-graph. Compared
with previous methods, the proposed method can leverage the edge information to
auxiliary alignment between objects and entities and find the correlations
between entity-entity relationships and object-object relationships.
Experiments are conducted to show the effectiveness of our model.Comment: accepted in AAAI-202
A new stem-varanid lizard (Reptilia, Squamata) from the early Eocene of China
Monitor lizards (genus Varanus) are today distributed across Asia, Africa and Australasia and represent one of the most recognizable and successful lizard lineages. They include charismatic living species like the Komodo dragon of Indonesia and the even larger extinct Varanus prisca (Megalania) of Australia. The fossil record suggests that living varanids had their origins in a diverse assemblage of stem (varaniform) species known from the Late Cretaceous of China and Mongolia. However, determining the biogeographic origins of crown-varanids has proved problematic, with Asia, Africa and Australia each being proposed. The problem is complicated by the fragmentary nature of many attributed specimens, and the fact that the most widely accepted, and most complete, fossil of a stem-varanid, that of Saniwa ensidens, is from North America. In this paper, we describe a well-preserved skull and skeleton of a new genus of stem-varanid from the Eocene of China. Phylogenetic analysis places the new genus as the sister taxon of Varanus, suggesting that the transition from Cretaceous varaniform lizards to Varanus occurred in East Asia before the origin and dispersal of Varanus to other regions. The discovery of the new specimen thus fills an important gap in the fossil record of monitor lizards. The similar lengths of the fore- and hindlimbs in this new taxon are unusual among the total group Varanidae and suggest it may have had a different lifestyle, at least from the contemporaneous North American S. ensidens. This article is part of the theme issue 'The impact of Chinese palaeontology on evolutionary research'
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