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Temporal patterning

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https://www.readbyqxmd.com/read/28231621/the-biogeography-of-tropical-reef-fishes-endemism-and-provinciality-through-time
#1
Peter F Cowman, Valeriano Parravicini, Michel Kulbicki, Sergio R Floeter
The largest marine biodiversity hotspot straddles the Indian and Pacific Oceans, driven by taxa associated with tropical coral reefs. Centred on the Indo-Australian Archipelago (IAA), this biodiversity hotspot forms the 'bullseye' of a steep gradient in species richness from this centre to the periphery of the vast Indo-Pacific region. Complex patterns of endemism, wide-ranging species and assemblage differences have obscured our understanding of the genesis of this biodiversity pattern and its maintenance across two-thirds of the world's oceans...
February 23, 2017: Biological Reviews of the Cambridge Philosophical Society
https://www.readbyqxmd.com/read/28231402/ex-vivo-visualization-of-human-ciliated-epithelium-and-quantitative-analysis-of-induced-flow-dynamics-by-using-optical-coherence-tomography
#2
Yuye Ling, Xinwen Yao, Ute A Gamm, Emilio Arteaga-Solis, Charles W Emala, Michael A Choma, Christine P Hendon
BACKGROUND AND OBJECTIVE: Cilia-driven mucociliary clearance is an important self-defense mechanism of great clinical importance in pulmonary research. Conventional light microscopy possesses the capability to visualize individual cilia and its beating pattern but lacks the throughput to assess the global ciliary activities and flow dynamics. Optical coherence tomography (OCT), which provides depth-resolved cross-sectional images, was recently introduced to this area. MATERIALS AND METHODS: Fourteen de-identified human tracheobronchial tissues are directly imaged by two OCT systems: one system centered at 1,300 nm with 6...
February 23, 2017: Lasers in Surgery and Medicine
https://www.readbyqxmd.com/read/28231329/changes-in-field-workability-and-drought-risk-from-projected-climate-change-drive-spatially-variable-risks-in-illinois-cropping-systems
#3
Bradley J Tomasek, Martin M Williams, Adam S Davis
As weather patterns become more volatile and extreme, risks introduced by weather variability will become more critical to agricultural production. The availability of days suitable for field work is driven by soil temperature and moisture, both of which may be altered by climate change. We projected changes in Illinois season length, spring field workability, and summer drought risk under three different emissions scenarios (B1, A1B, and A2) down to the crop district scale. Across all scenarios, thermal time units increased in parallel with a longer frost-free season...
2017: PloS One
https://www.readbyqxmd.com/read/28231328/integrating-the-sd-clue-s-and-invest-models-into-assessment-of-oasis-carbon-storage-in-northwestern-china
#4
Youjia Liang, Lijun Liu, Jiejun Huang
Spatio-temporal integrated assessment of land-use change impacts on carbon storage services is a new and important research field in land science and landscape ecology. The objective of this paper is to use an integrated SD-CLUE-S and InVEST model to simulate and predict land-use changes impacts during 2000-2018 on carbon storage at pixel and regional scales in the Zhangye oasis, Northwest China. The SD-CLUE-S model was used to simulate land-use change, and three land-use scenarios (current trend, moderate protection, and strict protection) were defined in collaboration with oasis socioeconomic development and ecological environment conservation by local government...
2017: PloS One
https://www.readbyqxmd.com/read/28230791/the-temporal-pattern-flux-and-function-of-autophagy-in-spinal-cord-injury
#5
REVIEW
Kailiang Zhou, Charles A Sansur, Huazi Xu, Xiaofeng Jia
Previous studies have indicated that autophagy plays a critical role in spinal cord injury (SCI), including traumatic spinal cord injury (TSCI) and ischemia-reperfusion spinal cord injury (IRSCI). However, while the understanding of mechanisms underlying autophagy in SCI has progressed, there remain several controversial points: (1) temporal pattern results of autophagic activation after SCI are not consistent across studies; (2) effect of accumulation of autophagosomes due to the blockade or enhancement of autophagic flux is uncertain; (3) overall effect of enhanced autophagy remains undefined, with both beneficial and detrimental outcomes reported in SCI literature...
February 21, 2017: International Journal of Molecular Sciences
https://www.readbyqxmd.com/read/28230097/evidence-for-risk-extrapolation-in-decision-making-by-tadpoles
#6
Adam L Crane, Maud C O Ferrari
Through time, the activity patterns, morphology, and development of both predators and prey change, which in turn alter the relative vulnerability of prey to their coexisting predators. Recognizing these changes can thus allow prey to make optimal decisions by projecting risk trends into the future. We used tadpoles (Lithobates sylvaticus) to test the hypothesis that tadpoles can extrapolate information about predation risk from past information. We exposed tadpoles to an odour that represented either a temporally consistent risk or an increasing risk...
February 23, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28230085/dynamics-of-contextual-modulation-of-perceived-shape-in-human-vision
#7
Elena Gheorghiu, Frederick A A Kingdom
In biological vision, contextual modulation refers to the influence of a surround pattern on either the perception of, or the neural responses to, a target pattern. One studied form of contextual modulation deals with the effect of a surround texture on the perceived shape of a contour, in the context of the phenomenon known as the shape aftereffect. In the shape aftereffect, prolonged viewing, or adaptation to a particular contour's shape causes a shift in the perceived shape of a subsequently viewed contour...
February 23, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28229131/discovering-cortical-folding-patterns-in-neonatal-cortical-surfaces-using-large-scale-dataset
#8
Yu Meng, Gang Li, Li Wang, Weili Lin, John H Gilmore, Dinggang Shen
The cortical folding of the human brain is highly complex and variable across individuals. Mining the major patterns of cortical folding from modern large-scale neuroimaging datasets is of great importance in advancing techniques for neuroimaging analysis and understanding the inter-individual variations of cortical folding and its relationship with cognitive function and disorders. As the primary cortical folding is genetically influenced and has been established at term birth, neonates with the minimal exposure to the complicated postnatal environmental influence are the ideal candidates for understanding the major patterns of cortical folding...
October 2016: Medical Image Computing and Computer-assisted Intervention: MICCAI ..
https://www.readbyqxmd.com/read/28228750/evolutionary-roots-and-diversification-of-the-genus-aeromonas
#9
Ariadna Sanglas, Vicenta Albarral, Maribel Farfán, J G Lorén, M C Fusté
Despite the importance of diversification rates in the study of prokaryote evolution, they have not been quantitatively assessed for the majority of microorganism taxa. The investigation of evolutionary patterns in prokaryotes constitutes a challenge due to a very scarce fossil record, limited morphological differentiation and frequently complex taxonomic relationships, which make even species recognition difficult. Although the speciation models and speciation rates in eukaryotes have traditionally been established by analyzing the fossil record data, this is frequently incomplete, and not always available...
2017: Frontiers in Microbiology
https://www.readbyqxmd.com/read/28228722/transcranial-doppler-sonography-reveals-reductions-in-hemispheric-asymmetry-in-healthy-older-adults-during-vigilance
#10
Amanda E Harwood, Pamela M Greenwood, Tyler H Shaw
Given that older adults are remaining longer in the workforce, their ability to perform demanding cognitive tasks such as vigilance assignments needs to be thoroughly examined, especially since many vigilance assignments affect public safety (e.g., aviation, medicine and long distance driving). Previous research exploring the relation between aging and vigilance is conflicted, with some studies finding decreased vigilance performance in older adults but others finding no effect of age. We sought a better understanding of effects of age on vigilance by assessing neurophysiological change over the course of a vigil in young (aged 18-24) and healthy older (aged 66-77) adults...
2017: Frontiers in Aging Neuroscience
https://www.readbyqxmd.com/read/28228159/the-effect-of-interspecific-competition-on-the-temporal-dynamics-of-aedes-albopictus-and-culex-pipiens
#11
Giovanni Marini, Giorgio Guzzetta, Frederic Baldacchino, Daniele Arnoldi, Fabrizio Montarsi, Gioia Capelli, Annapaola Rizzoli, Stefano Merler, Roberto Rosà
BACKGROUND: Aedes albopictus and Culex pipiens larvae reared in the same breeding site compete for resources, with an asymmetrical outcome that disadvantages only the latter species. The impact of these interactions on the overall ecology of these two species has not yet been assessed in the natural environment. In the present study, the temporal patterns of adult female mosquitoes from both species were analysed in north-eastern Italy, and substantial temporal shifts between abundance curves of Cx...
February 23, 2017: Parasites & Vectors
https://www.readbyqxmd.com/read/28227946/analysis-of-effective-sit-to-stand-therapy-using-kinematic-synergies
#12
Bryan Lao, Tomoya Tamei, Kazushi Ikeda, Bryan Lao, Tomoya Tamei, Kazushi Ikeda, Tomoya Tamei, Bryan Lao, Kazushi Ikeda
Understanding effective sit-to-stand (STS) movement is essential for improving rehabilitation strategies and developing services for the rapidly increasing number of elderly people. This study aims at identifying effective STS therapy by analyzing the kinematic synergies of movements induced by therapists of different skill-levels. Three synergies were found to share the same temporal pattern in both joint angles and center-of-mass spaces across all therapists. Effective strategy used by a skilled therapist and strategy flaws of less-experienced therapists were revealed through comparison of spatial patterns...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227772/the-chronnectome-evaluating-replicability-of-dynamic-connectivity-patterns-in-7500-resting-fmri-datasets
#13
Anees Abrol, Charlotte Chaze, Eswar Damaraju, Vince D Calhoun, Anees Abrol, Charlotte Chaze, Eswar Damaraju, Vince D Calhoun, Vince D Calhoun, Eswar Damaraju, Anees Abrol, Charlotte Chaze
Functional fMRI data are typically analyzed under the assumption that participants experience one long, continuous connectivity state throughout rest scan sessions. The chronnectome is a model that takes into account the temporal variance in connectivity throughout a scan session. In this work, we evaluate the repeatability of properties of functional network connectivity (FNC) dynamics assessed using sliding-windowed correlations in 28 independent age-matched large samples of 250 subjects. This approach revealed that multiple discrete, reoccurring connectivity states arise during rest, and that subjects tend to remain in one connectivity state for long periods of time before transitioning to another...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227752/multiscale-analysis-of-information-dynamics-for-linear-multivariate-processes
#14
Luca Faes, Alessandro Montalto, Sebastiano Stramaglia, Giandomenico Nollo, Daniele Marinazzo, Luca Faes, Alessandro Montalto, Sebastiano Stramaglia, Giandomenico Nollo, Daniele Marinazzo, Alessandro Montalto, Luca Faes, Sebastiano Stramaglia, Giandomenico Nollo, Daniele Marinazzo
In the study of complex physical and physiological systems represented by multivariate time series, an issue of great interest is the description of the system dynamics over a range of different temporal scales. While information-theoretic approaches to the multiscale analysis of complex dynamics are being increasingly used, the theoretical properties of the applied measures are poorly understood. This study introduces for the first time a framework for the analytical computation of information dynamics for linear multivariate stochastic processes explored at different time scales...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227747/split-belt-adaptation-and-gait-symmetry-in-transtibial-amputees-walking-with-a-hybrid-emg-controlled-ankle-foot-prosthesis
#15
Oliver A Kannape, Hugh M Herr, Oliver A Kannape, Hugh M Herr, Oliver A Kannape, Hugh M Herr
Our ability to automatically adapt our walking pattern to the demands of our environment is central to maintaining a steady gait. Accordingly, a large effort is being made to extend and integrate this adaptability to lower-limb prostheses. To date, the main focus of this research has been on short term adaptation, such as in response to a terrain transition or a sudden change in the environment. However, long term adaptation and underlying sensorimotor learning processes are critical to optimizing walking patterns and predictively changing our gait when faced with continued perturbations...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227629/inertial-sensor-based-gait-analysis-discriminates-subjects-with-and-without-visual-impairment-caused-by-simulated-macular-degeneration
#16
Christoph M Kanzler, Jens Barth, Jochen Klucken, Bjoern M Eskofier, Christoph M Kanzler, Jens Barth, Jochen Klucken, Bjoern M Eskofier, Jens Barth, Jochen Klucken, Bjoern M Eskofier, Christoph M Kanzler
Macular degeneration is the third leading cause of blindness worldwide and the leading cause of blindness in the developing world. The analysis of gait parameters can be used to assess the influence of macular degeneration on gait. This study examines the effect of macular degeneration on gait using inertial sensor based 3D spatio-temporal gait parameters. We acquired gait data from 21 young and healthy subjects during a 40 m obstacle walk. All subjects had to perform the gait trial with and without macular degeneration simulation glasses...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227358/a-view-invariant-gait-cycle-segmentation-for-ambient-monitoring
#17
Hao Wu, Beilei Xu, Himanshu Madhu, Jing Zhou, Hao Wu, Beilei Xu, Himanshu Madhu, Jing Zhou, Jing Zhou, Hao Wu, Beilei Xu, Himanshu Madhu
Gait analysis has many clinical applications in disease detection and treatment evaluation. Gait cycle segmentation is a critical component in gait analysis for timing the gait phases in evaluating many movement disorders. Computer vision techniques have been widely used in surveillance for security monitoring. They are nonintrusive and do not require cooperation from subjects. In this paper, we propose to leverage the videos from existing surveillance monitoring systems to provide long-term and ambient assessments of gait patterns from subjects' daily activity without the requirement of wearing a device...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227323/estimation-and-modeling-of-eeg-amplitude-temporal-characteristics-using-a-marked-point-process-approach
#18
Carlos A Loza, Jose C Principe, Carlos A Loza, Jose C Principe, Carlos A Loza, Jose C Principe
We propose a novel interpretation of single channel Electroencephalogram (EEG) traces based on the transient nature of encoded processes in the brain. In particular, the proposed framework models EEG as the output of the noisy addition of temporal, reoccurring, transient patterns known as phasic events. This is not only neurophysiologically sound, but it also provides additional information that classical EEG analysis often disregards. Furthermore, by utilizing sparse decomposition techniques, it is possible to obtain amplitude and timing that is further modeled using estimation and fitting techniques...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227141/deep-neural-network-architectures-for-forecasting-analgesic-response
#19
Paul Nickerson, Patrick Tighe, Benjamin Shickel, Parisa Rashidi, Paul Nickerson, Patrick Tighe, Benjamin Shickel, Parisa Rashidi, Parisa Rashidi, Paul Nickerson, Patrick Tighe, Benjamin Shickel
Response to prescribed analgesic drugs varies between individuals, and choosing the right drug/dose often involves a lengthy, iterative process of trial and error. Furthermore, a significant portion of patients experience adverse events such as post-operative urinary retention (POUR) during inpatient management of acute postoperative pain. To better forecast analgesic responses, we compared conventional machine learning methods with modern neural network architectures to gauge their effectiveness at forecasting temporal patterns of postoperative pain and analgesic use, as well as predicting the risk of POUR...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226819/decoding-memory-features-from-hippocampal-spiking-activities-using-sparse-classification-models
#20
Dong Song, Robert E Hampson, Brian S Robinson, Vasilis Z Marmarelis, Sam A Deadwyler, Theodore W Berger, Dong Song, Robert E Hampson, Brian S Robinson, Vasilis Z Marmarelis, Sam A Deadwyler, Theodore W Berger, Dong Song, Robert E Hampson, Sam A Deadwyler, Theodore W Berger, Vasilis Z Marmarelis, Brian S Robinson
To understand how memory information is encoded in the hippocampus, we build classification models to decode memory features from hippocampal CA3 and CA1 spatio-temporal patterns of spikes recorded from epilepsy patients performing a memory-dependent delayed match-to-sample task. The classification model consists of a set of B-spline basis functions for extracting memory features from the spike patterns, and a sparse logistic regression classifier for generating binary categorical output of memory features...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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