scholarly journals Double-letter processing in developmental and skilled handwriting production: Evidence from kinematics

2020 ◽  
Vol 73 (9) ◽  
pp. 1396-1406
Author(s):  
Stefan Hess ◽  
Petroula Mousikou ◽  
Sascha Schroeder
Keyword(s):  
Temporal Resolution ◽  
Second Graders ◽  
Third Graders ◽  
The Other ◽  
Consonant Cluster ◽  
Computer Screen ◽  
Adult Participants ◽  
Pen Tablet ◽  
Spatio Temporal ◽  
Letter Processing

In this study, we investigated the effects of double-letter processing on handwriting production in beginning and skilled writers of German. One hundred and thirty-seven children from Grades 2 and 3 and 31 adult participants were asked to copy words with double consonants (e.g., “Kanne”) and matched words without double consonants (e.g., “Kante”) from a computer screen onto a pen tablet, while their handwriting was recorded with high spatio-temporal resolution. Handwriting productions were analysed in terms of Reading Duration, Writing Onset Duration, and Letter Duration at the letter positions preceding or forming the onset of the corresponding consonant clusters. Our results showed that second graders take less time to initiate writing words with double consonants than words without double consonants, while both second and third graders take less time to read words with double consonants than words without double consonants. Critically, although second and third graders write down a letter faster when it corresponds to the first letter of a double-letter unit than a consonant cluster, it is the other way around for adults. We interpret these findings within extant theories of handwriting production and offer an explanation for the different nature of the effects observed in beginning and skilled writers.

scholarly journals A data reduction and compression description for high throughput time-resolved electron microscopy

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Abhik Datta ◽  
Kian Fong Ng ◽  
Deepan Balakrishnan ◽  
Melissa Ding ◽  
See Wee Chee ◽  
...  
Keyword(s):  
Electron Microscopy ◽  
Temporal Resolution ◽  
Data Reduction ◽  
Accurate Estimation ◽  
Data Streaming ◽  
Compression Scheme ◽  
Raw Data ◽  
Time Resolved ◽  
Detection And Counting ◽  
Spatio Temporal

AbstractFast, direct electron detectors have significantly improved the spatio-temporal resolution of electron microscopy movies. Preserving both spatial and temporal resolution in extended observations, however, requires storing prohibitively large amounts of data. Here, we describe an efficient and flexible data reduction and compression scheme (ReCoDe) that retains both spatial and temporal resolution by preserving individual electron events. Running ReCoDe on a workstation we demonstrate on-the-fly reduction and compression of raw data streaming off a detector at 3 GB/s, for hours of uninterrupted data collection. The output was 100-fold smaller than the raw data and saved directly onto network-attached storage drives over a 10 GbE connection. We discuss calibration techniques that support electron detection and counting (e.g., estimate electron backscattering rates, false positive rates, and data compressibility), and novel data analysis methods enabled by ReCoDe (e.g., recalibration of data post acquisition, and accurate estimation of coincidence loss).

scholarly journals The Development and Applications of Ultrafast Electron Nanocrystallography

2009 ◽  
Vol 15 (4) ◽  
pp. 323-337 ◽  
Author(s):  
Chong-Yu Ruan ◽  
Yoshie Murooka ◽  
Ramani K. Raman ◽  
Ryan A. Murdick ◽  
Richard J. Worhatch ◽  
...  
Keyword(s):  
Temporal Resolution ◽  
Structural Dynamics ◽  
Atomic Scale ◽  
Energy Redistribution ◽  
Gold Nanocrystals ◽  
Charge Dynamics ◽  
Atomic Structures ◽  
Molecular Scale ◽  
Spatio Temporal ◽  
3D Retrieval

AbstractWe review the development of ultrafast electron nanocrystallography as a method for investigating structural dynamics for nanoscale materials and interfaces. Its sensitivity and resolution are demonstrated in the studies of surface melting of gold nanocrystals, nonequilibrium transformation of graphite into reversible diamond-like intermediates, and molecular scale charge dynamics, showing a versatility for not only determining the structures, but also the charge and energy redistribution at interfaces. A quantitative scheme for 3D retrieval of atomic structures is demonstrated with few-particle (<1,000) sensitivity, establishing this nanocrystallographic method as a tool for directly visualizing dynamics within isolated nanomaterials with atomic scale spatio-temporal resolution.

Investigation of Local Dynamics on the Sub-micron Scale in Organic Blends Using an Ultrafast Confocal Microscope

2010 ◽  
Vol 1270 ◽  
Author(s):  
Giulia Grancini ◽  
Dario Polli ◽  
Jenny Clark ◽  
Tersilla Virgili ◽  
Giulio Cerullo ◽  
...  
Keyword(s):  
Excited State ◽  
Confocal Microscopy ◽  
Polymer Blends ◽  
Spatial Resolution ◽  
Temporal Resolution ◽  
Electronic States ◽  
Pump Probe ◽  
Peculiar Behaviour ◽  
Spatio Temporal ◽  
Probe Spectroscopy

AbstractWe introduce a novel instrument combining femtosecond pump-probe spectroscopy and confocal microscopy for spatio-temporal imaging of excited-state dynamics of phase-separated polymer blends. Phenomena occurring at interfaces between different materials are crucial for optimizing the device performances, but are poorly understood due to the variety of possible electronic states and processes involved and to their complicated dynamics. Our instrument (with 200-fs temporal resolution and 300-nm spatial resolution) provides new insights into the properties of polymer blends, revealing spatially variable photo-relaxation paths and dynamics and highlighting a peculiar behaviour at the interface between the phase-separated domains.

scholarly journals Deep spatio-temporal emotion analysis of geo-tagged tweets for predicting location based communal emotion during COVID-19 Lock-down

2021 ◽  
pp. 1-14
Author(s):  
M. Amsaprabhaa ◽  
Y. Nancy Jane ◽  
H. Khanna Nehemiah
Keyword(s):  
Latent Dirichlet Allocation ◽  
Temporal Analysis ◽  
The Other ◽  
Classification Model ◽  
Grid Search ◽  
Analysis Framework ◽  
Emotion Classification ◽  
Spatio Temporal ◽  
Improved Accuracy ◽  
State Of Art

Due to the COVID-19 pandemic, countries across the globe has enforced lockdown restrictions that influence the people’s socio-economic lifecycle. The objective of this paper is to predict the communal emotion of people from different locations during the COVID-19 lockdown. The proposed work aims in developing a deep spatio-temporal analysis framework of geo-tagged tweets to predict the emotions of different topics based on location. An optimized Latent Dirichlet Allocation (LDA) approach is presented for finding the optimal hyper-parameters using grid search. A multi-class emotion classification model is then built via a Recurrent Neural Network (RNN) to predict emotions for each topic based on locations. The proposed work is experimented with the twitter streaming API dataset. The experimental results prove that the presented LDA model-using grid search along with the RNN model for emotion classification outperforms the other state of art methods with an improved accuracy of 94.6%.

On the possibilities of hard X-ray imaging with high spatio-temporal resolution using polychromatic synchrotron radiation

2010 ◽  
Vol 18 (4) ◽  
pp. 429-441 ◽  
Author(s):  
A. Rack ◽  
F. Garcia-Moreno ◽  
C. Schmitt ◽  
O. Betz ◽  
A. Cecilia ◽  
...  
Keyword(s):  
Synchrotron Radiation ◽  
Temporal Resolution ◽  
X Ray ◽  
X Ray Imaging ◽  
Spatio Temporal
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