958 research outputs found
A new operational matrix based on Bernoulli polynomials
In this research, the Bernoulli polynomials are introduced. The properties of
these polynomials are employed to construct the operational matrices of
integration together with the derivative and product. These properties are then
utilized to transform the differential equation to a matrix equation which
corresponds to a system of algebraic equations with unknown Bernoulli
coefficients. This method can be used for many problems such as differential
equations, integral equations and so on. Numerical examples show the method is
computationally simple and also illustrate the efficiency and accuracy of the
method
Anti-inflammatory potential of Agaricus in carrageenan-induced model of local inflammation in rats
Background: The concept of effects of Agaricus on inflammatory responses is still controversial. This study, therefore, was designed to assess the potential of the anti-inflammatory effect of Agaricus 100% extract on acute inflammation using the model of carrageenan-induced paw edema in rats.Methods: Four groups among five (six rats each) have been injected with carrageenan (0.1Â mL of 3% solution), intra-plantar in the right hind paw; the first group was injected with saline instead in the same manner and kept as control. An hour earlier, rats received different treatments, either saline (inflamed control), or diclofenac (inflamed, standard-treated), or Agaricus extract (5Â mL/kg as small dose or 10Â mL/kg as a large dose). The volume of the developed paw edema has been measured at an hour interval fashion (1~6 hrs) and at 24 hrs.Results: Agaricus extract showed inhibitory effects on the carrageenan-induced edema in time-Â and dose-dependent manner, at the late phase (2~ hrs) of the inflammatory response (small dose) and at both early (~2 hrs) and late phases (large dose). The effects were comparable to those of diclofenac being 11.74, 08.46, 08.99, 09.72 and 09.89% at 2-6 hrs (small dose); 14.04, 23.91, 21.92, 17.99, 15.63 and 16.96% at 1-6 hrs (large dose); 16.85, 31.30, 35.38, 35.97, 34.72 and 34.63% (diclofenac). The anti-inflammatory effect of Agaricus could be attributed to its phytochemical content which may inhibit the inducible inflammatory mediators (as prostaglandins and nitric oxide) in the late phase (small dose) and/or inhibiting both early (histamine and oxygen free radicals) and late mediators (large dose).Conclusions: These data may indicate that Agaricus extract has the potential of anti-inflammatory activity that could be applied in acute inflammatory disorders
The effects of ownership change on bank performance and risk exposure: Evidence from Indonesia
The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.This study investigates the effects of ownership change on the performance and exposure to risk of 60 Indonesian commercial banks over the period 2005–2012. We find that state-owned banks tend to be less profitable and more exposed to risk than private and foreign banks. Domestic investors tend to select the best performers for acquisition. Domestic acquisition is generally associated with a decrease in the efficiency of the acquired banks. Non-regional foreign acquisition is associated with a reduction in risk exposure. Acquisition by regional foreign investors is associated with performance gains
EFFECT OF SEED-SOAKING IN POLY ETHYLENE GLYCOL AND HUMIC ACID ON THE PRODUCTIVITY AND QUALITY OF FODDER BEET UNDER SOIL SALINITY CONDITIONS.
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Fine-tuned Sentiment Analysis of COVID-19 Vaccine-Related Social Media Data: Comparative Study
This study investigated and compared public sentiment related to COVID-19
vaccines expressed on two popular social media platforms, Reddit and Twitter,
harvested from January 1, 2020, to March 1, 2022. To accomplish this task, we
created a fine-tuned DistilRoBERTa model to predict sentiments of approximately
9.5 million Tweets and 70 thousand Reddit comments. To fine-tune our model, our
team manually labeled the sentiment of 3600 Tweets and then augmented our
dataset by the method of back-translation. Text sentiment for each social media
platform was then classified with our fine-tuned model using Python and the
Huggingface sentiment analysis pipeline. Our results determined that the
average sentiment expressed on Twitter was more negative (52% positive) than
positive and the sentiment expressed on Reddit was more positive than negative
(53% positive). Though average sentiment was found to vary between these social
media platforms, both displayed similar behavior related to sentiment shared at
key vaccine-related developments during the pandemic. Considering this similar
trend in shared sentiment demonstrated across social media platforms, Twitter
and Reddit continue to be valuable data sources that public health officials
can utilize to strengthen vaccine confidence and combat misinformation. As the
spread of misinformation poses a range of psychological and psychosocial risks
(anxiety, fear, etc.), there is an urgency in understanding the public
perspective and attitude toward shared falsities. Comprehensive educational
delivery systems tailored to the population's expressed sentiments that
facilitate digital literacy, health information-seeking behavior, and precision
health promotion could aid in clarifying such misinformation.Comment: 11 Pages, 5 Figures, and 1 Tabl
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