An Adaptive Spatio-Temporal Sequence Prediction Framework Using Quantified Predictability

2022 ◽  
Author(s):  
Wengen Li ◽  
Jiannong Cao ◽  
Jihong Guan ◽  
Shuigeng Zhou
1990 ◽  
Vol 41 (6) ◽  
pp. 3346-3354 ◽  
Author(s):  
Hidetoshi Nishimori ◽  
Tota Nakamura ◽  
Masatoshi Shiino

Development ◽  
1978 ◽  
Vol 45 (1) ◽  
pp. 283-294
Author(s):  
Jonathan Cooke

This paper describes the small disturbances, in the regular pattern of the somites and the fissures between them, that are seen following short (around 300 s) heat shocks at 37·5 °C delivered to pre-neurula stages of Xenopus laevis. Affected groups of cells still finally differentiate as somite muscle, but the normally precise spatio-temporal sequence in which they move beforehand to give rise to the actual pattern of somite blocks, is disrupted. Examination of the position and sizes of patches of disrupted morphogenesis, in relation to the precise embryonic stage at shock, leads to certain conclusions about the nature of the disturbance induced by a brief period at high temperature, in cells due to form somites. The pattern of results is compared with that produced by similar temperature shocks given to tail-bud (later) staged embryos. The discussion includes a brief consideration of how the various results of heat shocks, given at different embryonic stages, might be understood in terms of one particular model (Cooke & Zeeman, 1976) for the spatio-temporal control of the developing somite pattern.


2018 ◽  
Vol 29 (1) ◽  
pp. 1-44
Author(s):  
Annamaria Bartolotta

AbstractThis paper is a comparative study based on the linguistic evidence in Vedic Sanskrit and Homeric Greek, aimed at reconstructing the space-time cognitive models used in the Proto-Indo-European language in a diachronic perspective. While it has been widely recognized that ancient Indo-European languages construed earlier (and past) events as in front of later ones, as predicted in the Time-Reference-Point mapping, it is less clear how in the same languages the passage took place from this ‘archaic’ Time-RP model or non-deictic sequence, in which future events are behind or follow the past ones in a temporal sequence, to the more recent ‘post-archaic’ Ego-RP model that is found only from the classical period onwards, in which the future is located in front and the past in back of a deictic observer. Data from the Rigveda and the Homeric poems show that an Ego-RP mapping with an ego-perspective frame of reference (FoR) could not have existed yet at an early Indo-European stage. In particular, spatial terms of front and behind turn out to be used with reference not only to temporal events, but also to east and west respectively, thus presupposing the existence of an absolute field-based FoR which the temporal sequence is metaphorically related to. Specifically, sequence is relative position on a path appears to be motivated by what has been called day orientation frame, in which the different positions of the sun during the day motivate the mapping of front onto ‘earlier’ and behind onto ‘later’, without involving ego’s ‘now’. These findings suggest that early Indo-European still had not made use of spatio-temporal deixis based on the tense-related ego-perspective FoR found in modern languages.


2010 ◽  
Vol 107 (52) ◽  
pp. 22734-22739 ◽  
Author(s):  
E. Scacchi ◽  
P. Salinas ◽  
B. Gujas ◽  
L. Santuari ◽  
N. Krogan ◽  
...  

2017 ◽  
Vol 93 (1) ◽  
pp. 47-65 ◽  
Author(s):  
Keon Myung Lee ◽  
Sang Yeon Lee ◽  
Kyung Mi Lee ◽  
Sang Ho Lee

2018 ◽  
Vol 15 (2) ◽  
pp. 21-46 ◽  
Author(s):  
Chunjie Zhou ◽  
Pengfei Dai ◽  
Zhenxing Zhang

For a satisfactory trip planning, the following features are desired: 1) automated suggestion of scenes or attractions; 2) personalized based on the interest and habits of travelers; 3) maximal coverage of sites of interest; and 4) minimal effort such as transporting time on the route. Automated scene suggestion requires collecting massive knowledge about scene sites and their characteristics, and personalized planning requires matching of a traveler profile with knowledge of scenes of interest. As a trip contains a sequence of stops at multiple scenes, the problem of trip planning becomes optimizing a temporal sequence where each stop is weighted. This article presents OrientSTS, a novel spatio-temporal sequence (STS) searching system for optimal personalized trip planning. OrientSTS provides a knowledge base of scenes with their tagged features and season characteristics. By combining personal profiles and scene features, OrientSTS generates a set of weighted scenes for each city for each user. OrientSTS can then retrieve the optimal sequence of scenes in terms of distance, weight, visiting time, and scene features. The authors develop alternative algorithms for searching optimal sequences, with consideration of the weight of each scene, the preference of users, and the travel time constraint. The experiments demonstrate the efficiency of the proposed algorithms based on real datasets from social networks.


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