Ecological amplitude, based on Ellenberg’s mean indicator values, was also comparable in marginal and central parts of the range and was widest in the case of soil reaction and narrowest in the case of nitrogen availability. Species cover-abundance in most cases did not exceed 25% of the relevé area, indicating that the plant is a rare species that is only locally abundant in specific habitats. Carex chordorrhiza was recorded in both treeless and wooded plant communities, representing five classes and 18 alliances, although Scheuchzerio–Caricetea fuscae was confirmed to be the central class. The phytocoenotic amplitude of the species, established on the basis of 586 phytosociological relevés, was wider than previously described. In all European countries outside its core range, string sedge is classified under various threat categories. Carex chordorrhiza is a small boreal sedge with a geographical range declining from north and north-eastern Europe towards the southwest. We investigated the cover-abundance of Carex chordorrhiza within varied plant communities reported from Europe, and with features that may influence sedge abundance in the ‘within’ and ‘outside’ areas of the species core range. Species abundance is believed to be connected with geographical distribution and to decrease from central towards marginal parts of the distribution range. In addition, our approach improves the performance of AlexNet and VGG-19 by 1.77 × and 1.4 × respectively. Compared to the default canonical polyadic decomposition, our approach reduces the memory occupancy of the intermediate data by 84.6% and 77.4% for AlexNet and VGG-19 respectively. We demonstrate the effectiveness of our approach by applying canonical polyadic decomposition and re-fusion to the convolution layers of two well-known convolution neural networks, AlexNet and VGG-19 implemented with Caffe. In this work, we propose T1000 to re-fuse the convolutions across tensors after applying the canonical polyadic decomposition to conventional convolution layers so that we can receive the benefit of reduced computation complexity, in the meanwhile mitigate the memory occupancy of the intermediate data. Although research efforts have been devoted to reduce the computation complexity of convolution neural networks through tensor decomposition, the volume of intermediate data generated by the tensor decomposition grows dramatically, which consumes more memory resource and has not been addressed by existing work. However, the improved accuracy comes with the formidable computation complexity with deeper convolution layers, which prevents its adoption on resource constrained system such as embedded and mobile. In recent years, convolution neural networks have significantly advanced the frontier of computer vision and other intelligent applications due to its promising accuracy. The result of this study can provide a better understanding of crouch gait in CP children and help to promote training program of patients. Larger number of muscles involved in each pathological modules compared with normal, may be related to lower extremity dysfunction. The first synergy was Discussionįewer number of synergies was likely due to the neuromuscular deficit in CP children. The clustering results revealed five types of synergies exists whereas only two types were shared frequently across subjects and three remaining modules were observed only in one and two subjects. The SS for activation profiles was 0.84 ± 0.15 and 0.94 ± 0.04, respectively. The mean intra-subject SS for synergy structure was 0.97 ± 0.02 and 0.99 ± 0.00 based on PCC and NDP, respectively.
Two synergies were extracted for nine subjects and three for one subject (Fig. Nonnegative Matrix Factorization (NNMF) was used to Results During walking at self-selected speed, surface Electromyography(EMG) from 14 lower extremity muscles were collected bilaterally including: Psoas(PS), Rectus Femoris(RF), Tibialis Anterior(TA), Medial Hamstring(MH), Lateral Hamstring(LH), Lateral Gastrocnemius(LGc) and adductor longus(AD).
Ten CP (10.6 ± 2.9yrs) who had no surgery, can walk independently and recognized as crouch gait according to Rodda classification, were recruited. Does consistent muscle synergies exist in CP crouch gait? If so, what does these modules look like and what are the contributing muscles within each? Methods
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