A low cost spray-coating technique is implemented to study the boron diffusion in n-type silicon wafers. Temperature and diffusion time have been the main factors on the resulting sheet resistance (R ...sheet ), reaching the highest values at high temperatures and diffusion times due to the formation of a thick borosilicate glass layer on the wafer surface. This layer has been etched off by HF dipping resulting on more doped emitters. Time-of-Flight Secondary Ion Mass Spectrometry (TOF-SIMS) measurements have been carried out in order to analyze the correlation of R sheet with the amount of sprayed precursor.
We introduce the Automatic Learning for the Rapid Classification of Events (ALeRCE) broker, an astronomical alert broker designed to provide a rapid and self--consistent classification of large ...etendue telescope alert streams, such as that provided by the Zwicky Transient Facility (ZTF) and, in the future, the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST). ALeRCE is a Chilean--led broker run by an interdisciplinary team of astronomers and engineers, working to become intermediaries between survey and follow--up facilities. ALeRCE uses a pipeline which includes the real--time ingestion, aggregation, cross--matching, machine learning (ML) classification, and visualization of the ZTF alert stream. We use two classifiers: a stamp--based classifier, designed for rapid classification, and a light--curve--based classifier, which uses the multi--band flux evolution to achieve a more refined classification. We describe in detail our pipeline, data products, tools and services, which are made public for the community (see \url{https://alerce.science}). Since we began operating our real--time ML classification of the ZTF alert stream in early 2019, we have grown a large community of active users around the globe. We describe our results to date, including the real--time processing of \(9.7\times10^7\) alerts, the stamp classification of \(1.9\times10^7\) objects, the light curve classification of \(8.5\times10^5\) objects, the report of 3088 supernova candidates, and different experiments using LSST-like alert streams. Finally, we discuss the challenges ahead to go from a single-stream of alerts such as ZTF to a multi--stream ecosystem dominated by LSST.
To study the prevalence of sexual activity (SA), its characteristics and associated variables in a rural population-group of the over-60s.
A descriptive crossover study.
Health Centre in the town of ...Pravia.
Residents who were 60 or over on March 1, 1995: 3,173 (1,362 men and 1,811 women).
Municipal roll (9,986 inhabitants). By simple randomised sampling, n = 177 (significance 5%, accuracy 7%).
A closed questionnaire administered by professional staff at the Centre measured: gender, age, socio-cultural data, functional capacity, pathologies and medicines depressing SA (MDSA), coital sexual relations (SR), other types of SA (OTSA), sexual dysfunctions, age at and reason for giving up SR (GSR). 181 questionnaires were filled in: 75 men and 106 women. Maintaining SR was significantly associated (p < 0.05) with: being male, being younger, marriage, OH, functional independence. Not maintaining them was associated with vasculopathies, arthrosis and MDSA. Applying logistical regression analysis gave as predictive variables only: marital status, functional capacity and gender.
Half of the participants maintained some kind of SA. The presence of SR was basically linked to having a partner, being functionally independent and being male. We found a high percentage of sexual dysfunctions. We believe it is relevant to include evaluation of sexual function in overall evaluation of the elderly.
The probability of conditionals: A review López-Astorga, Miguel; Ragni, Marco; Johnson-Laird, P. N.
Psychonomic bulletin & review,
02/2022, Letnik:
29, Številka:
1
Journal Article
Recenzirano
Odprti dostop
A major hypothesis about conditionals is the Equation in which the probability of a conditional equals the corresponding conditional probability: p(
if A then C
) = p(
C|A
). Probabilistic theories ...often treat it as axiomatic, whereas it follows from the meanings of conditionals in the theory of mental models. In this theory, intuitive models (system 1) do not represent what is false, and so produce errors in estimates of p(
if A then C
), yielding instead p(
A & C
). Deliberative models (system 2) are normative, and yield the proportion of cases of
A
in which
C
holds, i.e., the Equation. Intuitive estimates of the probability of a conditional about unique events:
If covid-19 disappears in the USA, then Biden will run for a second term
, together with those of each of its clauses, are liable to yield joint probability distributions that sum to over 100%. The error, which is inconsistent with the probability calculus, is massive when participants estimate the joint probabilities of conditionals with each of the different possibilities to which they refer. This result and others under review corroborate the model theory.
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