515 research outputs found
A comparison of the effects of full day versus half day kindergarten programs
The purpose of this study was to determine if the children in full day kindergarten programs made greater gains when compared to half day kindergarten programs as measured by an informal teacher made kindergarten screening test.
The subjects of this study were 81 kindergarten students (40 girls, 41 boys) from two elementary schools in southern New Jersey. Thirty-nine (39) students were enrolled in the full day program, and 42 were enrolled in the half day program. Both groups were pretested with a teacher made kindergarten screening test in the beginning of the school year (September/October) and then post tested in the middle of the school year (January/February). Individual scores were calculated as percentage of items correct and then recorded as group averages. A comparison was made between the two groups to determine the difference of gains made in each program.
Results indicate that both programs made gains in all categories of the test. Compared to the half day program, the full day program made greater gains in visual motor skills, and the half day program made greater gains in visual discrimination skills when compared to the full day program. When comparing the average scores of the entire test, there was no significant difference between the two programs.
The findings of this study indicate no meaningful difference in the gains made by the children enrolled in the two programs. Both programs made positive gains in all areas assessed with no regression on any of the variables
Naturally Rehearsing Passwords
We introduce quantitative usability and security models to guide the design
of password management schemes --- systematic strategies to help users create
and remember multiple passwords. In the same way that security proofs in
cryptography are based on complexity-theoretic assumptions (e.g., hardness of
factoring and discrete logarithm), we quantify usability by introducing
usability assumptions. In particular, password management relies on assumptions
about human memory, e.g., that a user who follows a particular rehearsal
schedule will successfully maintain the corresponding memory. These assumptions
are informed by research in cognitive science and validated through empirical
studies. Given rehearsal requirements and a user's visitation schedule for each
account, we use the total number of extra rehearsals that the user would have
to do to remember all of his passwords as a measure of the usability of the
password scheme. Our usability model leads us to a key observation: password
reuse benefits users not only by reducing the number of passwords that the user
has to memorize, but more importantly by increasing the natural rehearsal rate
for each password. We also present a security model which accounts for the
complexity of password management with multiple accounts and associated
threats, including online, offline, and plaintext password leak attacks.
Observing that current password management schemes are either insecure or
unusable, we present Shared Cues--- a new scheme in which the underlying secret
is strategically shared across accounts to ensure that most rehearsal
requirements are satisfied naturally while simultaneously providing strong
security. The construction uses the Chinese Remainder Theorem to achieve these
competing goals
D-branes on a Deformation of SU(2)
We discuss D-branes on a line of conformal field theories connected by an
exact marginal deformation. The line contains an SU(2) WZW model and two
mutually T-dual SU(2)/U(1) cosets times a free boson. We find the D-branes
preserving a U(1) isometry, an F-flux quantization condition and conformal
invariance. Away from the SU(2) point a U(1) times U(1) symmetry is broken to
U(1) times Z_k, i.e. continuous rotations of branes are accompanied by
rotations along the branes. Requiring decoupling of the cosets from the free
boson at the endpoints of the deformation breaks the continuous rotation of
branes to Z_k. At the SU(2) point the full U(1) times U(1) symmetry is
restored. This suggests the occurrence of phase transitions for branes at
angles in the coset model, at a semiclassical level. We also discuss briefly
the orientifold planes along the deformation line.Comment: 19 pages, latex, 5 figures, references adde
Comments on D-branes in Kazama-Suzuki models and Landau-Ginzburg theories
We study D-branes in Kazama-Suzuki models by means of the boundary state
description. We can identify the boundary states of Kazama-Suzuki models with
the solitons in N=2 Landau-Ginzburg theories. We also propose a geometrical
interpretation of the boundary states in Kazama-Suzuki models.Comment: 28 pages, 2 figure
Assessment of dispersion of airborne particles of oral/nasal fluid by high flow nasal cannula therapy
Background
Nasal High Flow (NHF) therapy delivers flows of heated humidified gases up to 60 LPM (litres per minute) via a nasal cannula. Particles of oral/nasal fluid released by patients undergoing NHF therapy may pose a cross-infection risk, which is a potential concern for treating COVID-19 patients.
Methods
Liquid particles within the exhaled breath of healthy participants were measured with two protocols: (1) high speed camera imaging and counting exhaled particles under high magnification (6 participants) and (2) measuring the deposition of a chemical marker (riboflavin-5-monophosphate) at a distance of 100 and 500 mm on filter papers through which air was drawn (10 participants). The filter papers were assayed with HPLC. Breathing conditions tested included quiet (resting) breathing and vigorous breathing (which here means nasal snorting, voluntary coughing and voluntary sneezing). Unsupported (natural) breathing and NHF at 30 and 60 LPM were compared.
Results
Imaging: During quiet breathing, no particles were recorded with unsupported breathing or 30 LPM NHF (detection limit for single particles 33 ÎŒm). Particles were detected from 2 of 6 participants at 60 LPM quiet breathing at approximately 10% of the rate caused by unsupported vigorous breathing. Unsupported vigorous breathing released the greatest numbers of particles. Vigorous breathing with NHF at 60 LPM, released half the number of particles compared to vigorous breathing without NHF.
Chemical marker tests: No oral/nasal fluid was detected in quiet breathing without NHF (detection limit 0.28 ÎŒL/m3). In quiet breathing with NHF at 60 LPM, small quantities were detected in 4 out of 29 quiet breathing tests, not exceeding 17 ÎŒL/m3. Vigorous breathing released 200â1000 times more fluid than the quiet breathing with NHF. The quantities detected in vigorous breathing were similar whether using NHF or not.
Conclusion
During quiet breathing, 60 LPM NHF therapy may cause oral/nasal fluid to be released as particles, at levels of tens of ÎŒL per cubic metre of air. Vigorous breathing (snort, cough or sneeze) releases 200 to 1000 times more oral/nasal fluid than quiet breathing (p < 0.001 with both imaging and chemical marker methods). During vigorous breathing, 60 LPM NHF therapy caused no statistically significant difference in the quantity of oral/nasal fluid released compared to unsupported breathing. NHF use does not increase the risk of dispersing infectious aerosols above the risk of unsupported vigorous breathing. Standard infection prevention and control measures should apply when dealing with a patient who has an acute respiratory infection, independent of which, if any, respiratory support is being used
Integration of Machine Learning and Mechanistic Models Accurately Predicts Variation in Cell Density of Glioblastoma Using Multiparametric MRI
Glioblastoma (GBM) is a heterogeneous and lethal brain cancer. These tumors are followed using magnetic resonance imaging (MRI), which is unable to precisely identify tumor cell invasion, impairing effective surgery and radiation planning. We present a novel hybrid model, based on multiparametric intensities, which combines machine learning (ML) with a mechanistic model of tumor growth to provide spatially resolved tumor cell density predictions. The ML component is an imaging data-driven graph-based semi-supervised learning model and we use the Proliferation-Invasion (PI) mechanistic tumor growth model. We thus refer to the hybrid model as the ML-PI model. The hybrid model was trained using 82 image-localized biopsies from 18 primary GBM patients with pre-operative MRI using a leave-one-patient-out cross validation framework. A Relief algorithm was developed to quantify relative contributions from the data sources. The ML-PI model statistically significantly outperformed (p \u3c 0.001) both individual models, ML and PI, achieving a mean absolute predicted error (MAPE) of 0.106 ñ 0.125 versus 0.199 ñ 0.186 (ML) and 0.227 ñ 0.215 (PI), respectively. Associated Pearson correlation coefficientsà for ML-PI, ML, and PI were 0.838, 0.518, and 0.437, respectively. The Relief algorithm showed the PI model had the greatest contribution to the result, emphasizing the importance of the hybrid model in achieving the high accuracy
From Continental Hyperextension to Seafloor Spreading: New Insights on the Porcupine Basin from Wide-angle Seismic Data
Key Points:
- New analysis of wide-angle seismic data from the southern Porcupine Basin.
- Evidence for presence of oceanic crust in the southern Porcupine Basin.
- Jurassic rifting propagated from south to north, resulting in non-uniform strain when rifting stopped.
The deep structure and sedimentary record of rift basins provide an important insight into understanding the geological processes involved in lithospheric extension. We investigate the crustal structure and largeâscale sedimentary architecture of the southern Porcupine Basin, offshore Ireland along three wideâangle seismic profiles, supplemented by thirteen selected seismic reflection profiles. The seismic velocity and crustal geometry models obtained by joint refraction and reflection travelâtime inversion clearly image the deep structure of the basin. Our results suggest the presence of three distinct crustal domains along the rifting axis: (a) continental crust becoming progressively hyperextended from north to south through the basin, (b) a transitional zone of uncertain nature and (c) a 7â8 km thick zone of oceanic crust. The latter is overlain by a ~ 8 km compacted Upper PaleozoicâMesozoic succession and ~ 2 km of Cenozoic strata. Due to the lack of clear magnetic anomalies and in the absence of well control, the precise age of interpreted oceanic crust is unknown. However, we can determine an age range of Late Jurassic to Late Cretaceous from the regional context. We propose a northwardâpropagating rifting process in the Porcupine Basin, resulting in variations in strain along the rift axis
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