Spatio-temporal activity patterns of mammals in an agro-ecological mosaic with seasonal recreation activities

2018 ◽  
Vol 64 (3) ◽  
Author(s):  
Hila Shamoon ◽  
Shlomo Cain ◽  
Uri Shanas ◽  
Avi Bar-Massada ◽  
Yariv Malihi ◽  
...  
Keyword(s):  
Activity Patterns ◽  
Spatio Temporal ◽  
Recreation Activities

scholarly journals Expression of Connexins 37, 43 and 45 in Developing Human Spinal Cord and Ganglia

2020 ◽  
Vol 21 (24) ◽  
pp. 9356
Author(s):  
Marija Jurić ◽  
Julia Zeitler ◽  
Katarina Vukojević ◽  
Ivana Bočina ◽  
Maximilian Grobe ◽  
...  
Keyword(s):  
Spinal Cord ◽  
Human Development ◽  
Developmental Stages ◽  
Activity Patterns ◽  
Expression Patterns ◽  
Human Spinal Cord ◽  
Spatio Temporal ◽  
Early Fetal Period ◽  
Areas Of Interest ◽  
Early Human

Direct intercellular communication via gap junctions has an important role in the development of the nervous system, ranging from cell migration and neuronal differentiation to the formation of neuronal activity patterns. This study characterized and compared the specific spatio-temporal expression patterns of connexins (Cxs) 37, 43 and 45 during early human developmental stages (since the 5th until the 10th developmental week) in the spinal cord (SC) and dorsal root ganglia (DRG) using double immunofluorescence and transmission electron microscopy. We found the expression of all three investigated Cxs during early human development in all the areas of interest, in the SC, DRG, developing paravertebral ganglia of the sympathetic trunk, notochord and all three meningeal layers, with predominant expression of Cx37. Comparing the expression of different Cxs between distinct developmental periods, we did not find significant differences. Specific spatio-temporal pattern of Cxs expression might reflect their relevance in the development of all areas of interest via cellular interconnectivity and synchronization during the late embryonic and early fetal period of human development.

scholarly journals fMRI single trial discovery of spatio-temporal brain activity patterns

2016 ◽  
Vol 38 (3) ◽  
pp. 1421-1437 ◽  
Author(s):  
Michele Allegra ◽  
Shima Seyed-Allaei ◽  
Fabrizio Pizzagalli ◽  
Fahimeh Baftizadeh ◽  
Marta Maieron ◽  
...  
Keyword(s):  
Brain Activity ◽  
Activity Patterns ◽  
Single Trial ◽  
Spatio Temporal

scholarly journals Estimating activity patterns using spatio-temporal data of cell phone networks

2017 ◽  
Vol 22 (2) ◽  
pp. 162-179 ◽  
Author(s):  
Seyedmostafa Zahedi ◽  
Yousef Shafahi
Keyword(s):  
Cell Phone ◽  
Activity Patterns ◽  
Temporal Data ◽  
Spatio Temporal

scholarly journals Movement ecology of jaguars and predator-prey interactions.

2021 ◽  
Author(s):  
Carlos Cruz González ◽  
Daniela Medellin ◽  
Vicente Urios ◽  
Heliot Zarza ◽  
Gerardo Ceballos
Keyword(s):  
Average Distance ◽  
Activity Patterns ◽  
Movement Ecology ◽  
Suitable Habitat ◽  
Mean Values ◽  
Predator Prey ◽  
Gps Collars ◽  
Co Detection ◽  
Males And Females ◽  
Spatio Temporal

Jaguars (Panthera onca) are the largest felids in America, mainly threatened by habitat and prey density loss and hunting. Jaguars are mainly nocturnal predators that need large portions of suitable habitat with abundant prey populations. The aim of this work was to assess both jaguar and prey activity patterns, their relations and to understand if the presence/absence of prey and their activity patterns might determine the movements of jaguars in a spatio-temporal frame. We used data from camera trapping records of 125 jaguar events of presence from 9,360 camera trap days effort and data from five jaguars with GPS collars, to analyze: 1) Activity patterns; 2) Speed movement; 3) Traveled distances and 4) Co-occurrence for jaguars and preys. Differences between sexes and between seasons were also evaluated. A total of 12,566 segments of movement were recorded. Two activity peaks were identified between 07:00-08:00 and 22:00-23:00 hours. Average traveled distance was 265.66 m/h (± 390.98 m/h). The maximum hourly distance was 2,760.25 m/h; with significant differences considering the hour of day (χ2 = 324.51, df 11, p < 0.001), with higher mean values between 00:00 and 08:00 h. The average distance covered by males was higher than females (Z –24.827, p < 0.001): 341.64 ± 440.03 m/h and 146.31 ± 259.04 m/h respectively. Significant differences considering seasons were found (Z = –16.442, p < 0.001): average distance during the dry season was 230.35 ± 365.87 m/h and was higher during the rainy season: 337.082 ± 430.45 m/h. Differences according to season were also consistent considering males and females separately (males: Z = –6.212, p < 0.001; females: Z = –15.801, p < 0.001). Occupation model analysis revealed that two of the five pairs of species (P. onca and P. tajacu and P. onca and C. paca) occur with more frequency than if they were independent, while in terms of co-detection, P. onca and P. tajacu and P. onca and C. paca showed independence

scholarly journals The structured flow on the brain's resting state manifold

2022 ◽  
Author(s):  
Jan Fousek ◽  
Giovanni Rabuffo ◽  
Kashyap Gudibanda ◽  
Hiba Sheheitli ◽  
Viktor Jirsa ◽  
...  
Keyword(s):  
Resting State ◽  
Brain Activity ◽  
Activity Patterns ◽  
Predictive Coding ◽  
Network Connectivity ◽  
High Amplitude ◽  
Characteristic Functional ◽  
Spatio Temporal ◽  
Generative Mechanism ◽  
Task Conditions

Spontaneously fluctuating brain activity patterns emerge at rest and relate to brain functional networks involved in task conditions. Despite detailed descriptions of the spatio-temporal brain patterns, our understanding of their generative mechanism is still incomplete. Using a combination of computational modeling and dynamical systems analysis we provide a complete mechanistic description in terms of the constituent entities and the productive relation of their causal activities leading to the formation of a resting state manifold via the network connectivity. We demonstrate that the symmetry breaking by the connectivity creates a characteristic flow on the manifold, which produces the major empirical data features including spontaneous high amplitude co-activations, neuronal cascades, spectral cortical gradients, multistability and characteristic functional connectivity dynamics. The understanding of the brain's resting state manifold is fundamental for the construction of task-specific flows and manifolds used in theories of brain function such as predictive coding.

scholarly journals Comparing spatial and content analysis of residents and tourists using Geotagged Social Media Data. The Historic Neighbourhood of Alfama (Lisbon), a case study

2021 ◽  
pp. 95
Author(s):  
Claudia Yubero ◽  
Ana Margarida Condeço-Melhorado ◽  
María García-Hernández ◽  
Ana Catarina Fontes
Keyword(s):  
Content Analysis ◽  
Urban Planning ◽  
Research Question ◽  
Activity Patterns ◽  
Leisure Activities ◽  
Distribution Analysis ◽  
Time Data ◽  
Large Cities ◽  
Spatio Temporal ◽  
Tourism Flows

Tourism flows to large cities have increased drastically in the past few years. The Alfama neighbourhood in Lisbon (Portugal) is facing major changes with respect to land uses, demographic features and social appropriation patterns in public spaces, caused by the intensification of tourism. The consequences of new emerging economic and symbolic values have rapidly given rise to a scenario of touristification and gentrification in the neighbourhood. In order to address such complexities, sustainable urban planning can benefit from real-time data sources that can represent the tourism flows in spatial and temporal perspectives. The research question allows Twitter to be used as an emerging data source and for analysing spatial patterns and content, based on two sample groups: residents and tourists, and their interpretations about the use of space for leisure activities. The research method is based on an analysis of two years of geotagged tweets in the city of Lisbon, differentiating between tourist and resident users, and, in a subsequent step, in the Alfama neighbourhood. The spatial distribution analysis and the content analysis have revealed not only spatio-temporal activity patterns but also emotional responses to new trends in urban tourism uses, consumption and perception of an increasing tourism pressure in Alfama. The results are relevant in the field of tourism and sustainable urban planning.

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