Rapid Serial Movements: Relation Between the Planning of Sequential Structure and Effector Selection

2018 ◽  
pp. 409-427 ◽  
Author(s):  
Andras Semjen ◽  
Robert Gottsdanker
Keyword(s):  
2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Abdulkadir Tasdelen ◽  
Baha Sen

AbstractmiRNAs (or microRNAs) are small, endogenous, and noncoding RNAs construct of about 22 nucleotides. Cumulative evidence from biological experiments shows that miRNAs play a fundamental and important role in various biological processes. Therefore, the classification of miRNA is a critical problem in computational biology. Due to the short length of mature miRNAs, many researchers are working on precursor miRNAs (pre-miRNAs) with longer sequences and more structural features. Pre-miRNAs can be divided into two groups as mirtrons and canonical miRNAs in terms of biogenesis differences. Compared to mirtrons, canonical miRNAs are more conserved and easier to be identified. Many existing pre-miRNA classification methods rely on manual feature extraction. Moreover, these methods focus on either sequential structure or spatial structure of pre-miRNAs. To overcome the limitations of previous models, we propose a nucleotide-level hybrid deep learning method based on a CNN and LSTM network together. The prediction resulted in 0.943 (%95 CI ± 0.014) accuracy, 0.935 (%95 CI ± 0.016) sensitivity, 0.948 (%95 CI ± 0.029) specificity, 0.925 (%95 CI ± 0.016) F1 Score and 0.880 (%95 CI ± 0.028) Matthews Correlation Coefficient. When compared to the closest results, our proposed method revealed the best results for Acc., F1 Score, MCC. These were 2.51%, 1.00%, and 2.43% higher than the closest ones, respectively. The mean of sensitivity ranked first like Linear Discriminant Analysis. The results indicate that the hybrid CNN and LSTM networks can be employed to achieve better performance for pre-miRNA classification. In future work, we study on investigation of new classification models that deliver better performance in terms of all the evaluation criteria.


2013 ◽  
Vol 712-715 ◽  
pp. 2389-2392
Author(s):  
Hao Peng Wang ◽  
Xiao Jing Li ◽  
Tong Pan ◽  
Kai Zhao

The paper presented a conventional sequential Structure from Motion method, introduced the algebraic concepts and the core techniques used effectively. It is especially essential to comprehend the static scene based sequential of Structure from Motion is extended to a simultaneous segmentation and reconstruction scheme for dynamic scenes. The first outcome is the multiple view geometry, the second is the feature tracking and geometry initializing, and the last is self-calibration.


Author(s):  
S.V. Palochkin ◽  
Y.V. Sinitsyna ◽  
K.G. Erastova

The increased accuracy in high-speed positioning of the parallel robot effector in comparison with that of serial robots with a sequential structure is often the main reason for their use in various modern industries, such as the manufacture of printed circuit boards for microelectronics. However, despite the higher theoretical positioning accuracy, due to the kinematic structure of the parallel robot, in practice this characteristic largely depends on the accuracy of manufacturing individual elements of this mechanism, the most important of which are the gearboxes of the drives of its input pairs. A solution to the urgent problem of determining the effect of the manufacturing accuracy of planetary pinion gearboxes included in the drive of a five-link parallel robot on the positioning accuracy of its output link is proposed. A specific relationship has been determined between the grade of accuracy number of the gear part dimensions and the robot positioning accuracy. The unevenness of the positioning accuracy along the coordinate axes of its working area is revealed. It was found that near the area of certain robot positions the accuracy of its positioning drops sharply.


Author(s):  
Peter Wright ◽  
John McCarthy ◽  
Lisa Meekison

In this paper we outline a relational approach to experience, which we have used to develop a practitioner-oriented framework for analysing user experience. The framework depicts experience as compositional, emotional, spatio-temporal, and sensual, and as intimately bound up with a number of processes that allow us to make sense of experience. It was developed and assessed as part of a participative action research project involving interested practitioners. We report how these practitioners used the framework, what aspects of experience they felt that it missed, and how useful they found it as a tool for evaluating Internet shopping experiences. A thematic content analysis of participants’ reflections on their use of the framework to evaluate Internet shopping experiences revealed some strengths and some weaknesses. For example, certain features of the framework led participants to reflect on aspects of experience that they might not otherwise have considered e.g. the central role of anticipation in experience. The framework also captured aspects of experience that relate to both the sequential structure of the activity and its subjective aspects. However it seemed to miss out on the intensity of some experiences and participants sometimes found it difficult to distinguish between some of the sense making processes, for example, interpreting and reflecting. These results have helped to refine our approach to deploying the framework and have inspired an ongoing programme of research on experience-centered design.


RSC Advances ◽  
2018 ◽  
Vol 8 (62) ◽  
pp. 35759-35767 ◽  
Author(s):  
Ke-Wei Ding ◽  
Tao-Qi Li ◽  
Zhong-Xue Ge ◽  
Jian-Hua Bu ◽  
Ying Liu

Water-soluble random and micro-blocky copolymers P(ZnTrMPyP-AM) were prepared and the porphyrin pendants on them associate with anionic porphyrins in different manner.


2014 ◽  
Vol 53 (3) ◽  
pp. 311-340 ◽  
Author(s):  
Martin Aranguren

Recent developments in the service sector have led sociologists to suggest that customers are increasingly encouraged to ‘work’ for service organizations. This article develops the hypothesis that the clients who work in this service sector may experience an emotional dimension to their work. In support of this hypothesis, a revision of the notion of ‘emotion work’ is proposed on the basis of a study on the problematic usages of a phone interface service supplied by a telecommunications operator. The study made use of a group of genuine calls that were transcribed and coded; utterances were described objectively regarding pitch and intensity; finally, a statistical method for detecting sequential patterns was applied. The results suggest that clients respond emotionally to usability problems, and that their emotions unfold according to a recurrent sequential structure. Goffman’s ‘remedial interchange’ provides the point of reference for the interpretation, which leads to the suggestion that the emotional patterns revealed are of a social origin, though not socially situated.


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