11,241 research outputs found
Determining the number of hidden units in multi-layer perceptrons using F-ratios
The hidden units in multi-layer perceptrons are believed to act as feature extractors. In other words, the outputs of the hidden units represent the features in a more traditional statistical classification paradigm. This viewpoint offers a statistical, objective approach to determining the optimal number of hidden units required. This approach is based on an F-ratio test, and proceeds in an iterative fashion. The method and its application to simulated time-series data are presented
Quark Mass Matrices with Four and Five Texture Zeroes, and the CKM Matrix, in terms of Mass Eigenvalues
Using the triangular matrix techniques of Kuo et al and Chiu et al for the
four and five texture zero cases, with vanishing (11) elements for U and D
matrices, it is shown, from the general eigenvalue equations and hierarchy
conditions, that the quark mass matrices, and the CKM matrix can be expressed
(except for the phases) entirely in terms of quark masses. The matrix
structures are then quite simple and transparent. We confirm their results for
the five texture zero case but find, upon closer examination of all the CKM
elements which our results provide, that six of their nine patterns for the
four texture zero case are not compatible with experiments. In total, only one
five-texture zero and three four-texture zero patterns are allowed.Comment: 15 pages, 3 table
Quantitative modeling of \textit{in situ} x-ray reflectivity during organic molecule thin film growth
Synchrotron-based x-ray reflectivity is increasingly employed as an
\textit{in situ} probe of surface morphology during thin film growth, but
complete interpretation of the results requires modeling the growth process.
Many models have been developed and employed for this purpose, yet no detailed,
comparative studies of their scope and accuracy exists in the literature. Using
experimental data obtained from hyperthermal deposition of pentane and
diindenoperylene (DIP) on SiO, we compare and contrast three such models,
both with each other and with detailed characterization of the surface
morphology using ex-situ atomic force microscopy (AFM). These two systems each
exhibit particular phenomena of broader interest: pentacene/SiO exhibits a
rapid transition from rough to smooth growth. DIP/SiO, under the conditions
employed here, exhibits growth rate acceleration due to a different sticking
probability between the substrate and film. In general, \textit{independent of
which model is used}, we find good agreement between the surface morphology
obtained from fits to the \insitu x-ray data with the actual morphology at
early times. This agreement deteriorates at later time, once the root-mean
squared (rms) film roughness exceeds about 1 ML. A second observation is that,
because layer coverages are under-determined by the evolution of a single point
on the reflectivity curve, we find that the best fits to reflectivity data ---
corresponding to the lowest values of --- do not necessarily yield
the best agreement between simulated and measured surface morphologies.
Instead, it appears critical that the model reproduce all local extrema in the
data. In addition to showing that layer morphologies can be extracted from a
minimal set of data, the methodology established here provides a basis for
improving models of multilayer growth by comparison to real systems.Comment: 34 pages (double-spaced, including figures and references), 10
figures, 3 appendice
Examining public sentiments and attitudes toward COVID-19 vaccination: infoveillance study using Twitter posts
Background:
A global rollout of vaccinations is currently underway to mitigate and protect people from the COVID-19 pandemic. Several individuals have been using social media platforms such as Twitter as an outlet to express their feelings, concerns, and opinions about COVID-19 vaccines and vaccination programs. This study examined COVID-19 vaccine–related tweets from January 1, 2020, to April 30, 2021, to uncover the topics, themes, and variations in sentiments of public Twitter users.
Objective:
The aim of this study was to examine key themes and topics from COVID-19 vaccine–related English tweets posted by individuals, and to explore the trends and variations in public opinions and sentiments.
Methods:
We gathered and assessed a corpus of 2.94 million COVID-19 vaccine–related tweets made by 1.2 million individuals. We used CoreX topic modeling to explore the themes and topics underlying the tweets, and used VADER sentiment analysis to compute sentiment scores and examine weekly trends. We also performed qualitative content analysis of the top three topics pertaining to COVID-19 vaccination.
Results:
Topic modeling yielded 16 topics that were grouped into 6 broader themes underlying the COVID-19 vaccination tweets. The most tweeted topic about COVID-19 vaccination was related to vaccination policy, specifically whether vaccines needed to be mandated or optional (13.94%), followed by vaccine hesitancy (12.63%) and postvaccination symptoms and effects (10.44%) Average compound sentiment scores were negative throughout the 16 weeks for the topics postvaccination symptoms and side effects and hoax/conspiracy. However, consistent positive sentiment scores were observed for the topics vaccination disclosure, vaccine efficacy, clinical trials and approvals, affordability, regulation, distribution and shortage, travel, appointment and scheduling, vaccination sites, advocacy, opinion leaders and endorsement, and gratitude toward health care workers. Reversal in sentiment scores in a few weeks was observed for the topics vaccination eligibility and hesitancy.
Conclusions:
Identification of dominant themes, topics, sentiments, and changing trends about COVID-19 vaccination can aid governments and health care agencies to frame appropriate vaccination programs, policies, and rollouts.
[Abstract copyright: ©Ranganathan Chandrasekaran, Rashi Desai, Harsh Shah, Vivek Kumar, Evangelos Moustakas. Originally published in JMIR Infodemiology (https://infodemiology.jmir.org), 15.04.2022.
Helios-2 Vela-Ariel-5 gamma-ray burst source position
The gamma-ray burst of 28 January 1976, one of 18 events thus far detected in interplanetary space with Helios-2, was also observed with the Vela-5A, -6A and the Ariel-5 satellites. A small source field is obtained from the intersection of the region derived from the observed time delays between Helios-2 and Vela-5A and -6A with the source region independently found with the Ariel-5 X-ray detector. This area contains neither any steady X-ray source as scanned by HEAO-A nor any previously catalogued X-ray, radio or infrared sources, X-ray transients, quasars, seyferts, globular clusters, flare stars, pulsars, white dwarfs or high energy gamma-ray sources. The region is however, within the source field of a gamma-ray transient observed in 1974, which exhibited nuclear gamma-ray line structure
Non-equilibrium condensation and coarsening of field-driven dipolar colloids
In colloidal suspensions, self-organization processes can be easily fueled by
external fields. One particularly interesting class of phenomena occurs in
monolayers of dipolar particles that are driven by rotating external fields.
Here we report results from a computer simulation study of such systems
focusing on the clustering behavior also observed in recent experiments. The
key result of this paper is a novel interpretation of this pattern formation
phenomenon: We show the clustering to be a by-product of a vapor-liquid first
order phase transition. In fact, the observed dynamic coarsening process
corresponds to the spindodal demixing that occurs during such a transitionComment: 6 pages, 5 figure
The final results of the ARTISTIC trial: A randomised trial of HPV testing and primary cervical screening
A Note on Heat Transfer and Film Boiling
<p>Descriptive statistics and bivariate correlations (Study 3).</p
Research in the assessment of capture and culture fisheries along the Indian coast
A review of the research conducted at National Institute of Oceanography, Goa to assess the
capture and culture fishery potential of India is presented in the paper- the primary, secondary and
benthic productivity of estuaries and backwaters are elucidated by taking the Mandovi-Zuari estuarine
system as an example. The productivity of the coastal and oceanic waters around India are discussed.
The expected fishery yield and present level of exploitation are assessed and further course of action
discussed in this paper, in culture fisheries the contributions of NIO in the fields of mussel culture,
shrimp culture, brine shrimp culture, seaweed culture, horse-shoe crab culture and fish culture are reviewed
and discussed
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