scholarly journals Models for Predicting Global Plastic Waste

2021 ◽  
Vol 1 (2) ◽  
Author(s):  
Yuexing Hao ◽  
Glenn Shafer
Keyword(s):  
Growth Model ◽  
Real World ◽  
Exponential Growth ◽  
Plastic Waste ◽  
The Self ◽  
Scientific Models ◽  
Adaptive Model ◽  
The Real ◽  
Exponential Growth Model ◽  
Self Adaptive

For more than half a century, plastic prod-ucts have been a part of people’s lives. When plastic waste is thrown into nature, it can cause a sequence of dangerous effects. Previous researchers esti-mated that global plastic waste in 2020 will be more than 400 million tons. To reduce plastic waste, they built scientific models to analyze the sources of plas-tic and provided solutions for regenerating these plastic wastes. However, their models are static and inaccurate, which may cause some false predictions.In this paper, we first observe the distribution of the real-world plastic waste data. Then, we build simple exponential growth model and logistics model to match these data. By testing different models on our plots, we discover that the SELF-ADAPTIVE MODEL is the best to describe and correctly predict our future plastic waste production, as this model combines the benefits of SIMPLE EXPONENTIAL GROWTH MODEL and the LOGISTIC MODEL. The self-Adaptive model has the potential to minimize the error rate and make the predictions more accurate. Based on this model, we can develop more accurate and informative solu-tions for the real-world plastic problems.

Comparison of the self-expanding Evolut-PRO transcatheter aortic valve to its predecessor Evolut-R in the real world multicenter ATLAS registry

2020 ◽  
Vol 310 ◽  
pp. 120-125
Author(s):  
Konstantinos Kalogeras ◽  
Neil Ruparelia ◽  
Tito Kabir ◽  
Richard Jabbour ◽  
Toru Naganuma ◽  
...  
Keyword(s):  
Aortic Valve ◽  
Real World ◽  
The Self ◽  
The Real ◽  
Transcatheter Aortic Valve

scholarly journals Estimating COVID-19 cases infected with the variant alpha (VOC 202012/01): an analysis of screening data in Tokyo, January-March 2021

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Hiroaki Murayama ◽  
Taishi Kayano ◽  
Hiroshi Nishiura
Keyword(s):  
Confidence Interval ◽  
Growth Model ◽  
Exponential Growth ◽  
Reproduction Number ◽  
Hypergeometric Distribution ◽  
Actual Number ◽  
Growth Data ◽  
Exponential Growth Model

Abstract Background In Japan, a part of confirmed patients’ samples have been screened for the variant of concern (VOC), including the variant alpha with N501Y mutation. The present study aimed to estimate the actual number of cases with variant alpha and reconstruct the epidemiological dynamics. Methods The number of cases with variant alpha out of all PCR confirmed cases was estimated, employing a hypergeometric distribution. An exponential growth model was fitted to the growth data of variant alpha cases over fourteen weeks in Tokyo. Results The weekly incidence with variant alpha from 18–24 January 2021 was estimated at 4.2 (95% confidence interval (CI): 0.7, 44.0) cases. The expected incidence in early May ranged from 420–1120 cases per week, and the reproduction number of variant alpha was on the order of 1.5 even under the restriction of contact from January-March, 2021, Tokyo. Conclusions The variant alpha was predicted to swiftly dominate COVID-19 cases in Tokyo, and this has actually occurred by May 2021. Devising the proposed method, any country or location can interpret the virological sampling data.

scholarly journals Biblical Inspirations in Nikifor’s Paintings

2019 ◽  
Vol 26 (3) ◽  
pp. 31-46
Author(s):  
Krzysztof Wałczyk
Keyword(s):  
Real World ◽  
The Self ◽  
Creative Activity ◽  
The Real ◽  
Ideal World ◽  
The World ◽  
Biblical Anthropology ◽  
Divine Order ◽  
The Ideal

Nikifor Krynicki (Epifaniusz Drowniak, 1895-1968) was one of the most popular non-academic Polish painters worldwide. To show the biblical inspiration in his creative output I chose two categories from various thematic aspects: self-portraits and landscapes with a church. There are plenty of Nikifor’s paintings showing him as a teacher, as a celebrating priest, as a bishop, or even as Christ. A pop­ular way to explain this idea of self-portraits is a psychological one: as a form of auto-therapy. This analysis is aims to show a deeper expla­nation for the biblical anthropology. Nikifor’s self-portraits as a priest celebrating the liturgy are a symbol of creative activity understood as a divine re-creation of the world. Such activity needs divine inspira­tion. Here are two paintings to recall: Potrójny autoportret (The triple self-portrait) and Autoportret w trzech postaciach (Self-portrait in three persons). The proper way to understand the self-identification with Christ needs a reference to biblical anthropology. To achieve our re­al-self we need to identify with Christ, whose death and resurrection bring about our whole humanity. The key impression we may have by showing Nikifor’s landscapes with a church is harmony. The painter used plenty of warm colors. Many of the critics are of the opinion that Nikifor created an imaginary, ideal world in his landscapes, the world he wanted to be there and not the real world. The thesis of this article is that Nikifor created not only the ideal world, but he also showed the source of the harmony – the divine order.

scholarly journals Estimated Effect of COVID-19 Lockdown on Skin Tumor Size and Survival: An Exponential Growth Model

2020 ◽  
Vol 111 (8) ◽  
pp. 629-638
Author(s):  
A. Tejera-Vaquerizo ◽  
J. Cañueto ◽  
A. Toll ◽  
J. Santos-Juanes ◽  
A. Jaka ◽  
...  
Keyword(s):  
Growth Model ◽  
Exponential Growth ◽  
Tumor Size ◽  
Skin Tumor ◽  
Exponential Growth Model

Fluid bodies or bodily fluids

2012 ◽  
Vol 1 (2) ◽  
pp. 179-205 ◽  
Author(s):  
Brian Adams-Thies
Keyword(s):  
Communities Of Practice ◽  
Gay Men ◽  
Real World ◽  
The Body ◽  
The Self ◽  
Anal Sex ◽  
The Real ◽  
Bodily Fluids ◽  
Dichotomous Thinking ◽  
A Site

Previous researchers discussing cybersexuality have been fascinated with the body-less-ness of cybersex. They have focused on the textual productions and (re)formations of the self that are allowed in this space independent of the body. Thus, the cyber becomes the space of transformation and fluidity of the self while the ‘real’ becomes the site of the material, concrete and unchanging body. I posit that dichotomous thinking about the cyber and the real and the text and the body produces an errant concept of the body. Cybersex is rarely a disembodied experience. Text-making cannot create itself free from the constraints of linguistic communities of practice in the “real” world. I challenge the notion that cybersexuality is a sexuality without the body and that the body in the ‘real’ world is stable. I focus specifically on how gay men describe the experience of the anus and anal sex as a means to better understand how the body becomes a site for linguistic marking and reference.

scholarly journals Predicting the COVID-19 positive cases in India with concern to Lockdown by using Mathematical and Machine Learning based Models

2020 ◽  
Author(s):  
Ajit Kumar Pasayat ◽  
Satya Narayan Pati ◽  
Aashirbad Maharana
Keyword(s):  
Machine Learning ◽  
Linear Regression ◽  
Regression Model ◽  
Growth Model ◽  
Linear Regression Model ◽  
Exponential Growth ◽  
Time Window ◽  
Epidemic Curve ◽  
First Case ◽  
Exponential Growth Model

In this study, we analyze the number of infected positive cases of COVID-19 outbreak with concern to lockdown in India in the time window of February 11th 2020 to Jun 30th 2020. The first case in India was reported in Kerala on January 30th 2020. To break the chain of spreading, Government announced a nationwide lockdown on March 24th 2020, which is increased two times. The Ongoing lockdown 3.0 is over on May 18th, 2020. We derived how the lockdown relaxation is going to impact on containment of the outbreak. Here the Exponential Growth Model has been used to derive the epidemic curve based on the data collected from February 11th 2020, to May 11th 2020, and the Machine Learning based Linear Regression model that gives the epidemic curve to predict the cases with the continuous flow of the lockdown. We estimate that if the lockdown is continuing with more relaxation, then the estimated infected cases reach up to 1.16 crores by June 30th 2020, and the lockdown would persist with current restriction, then the expected predicted infected cases are 5.69 lacs. The Exponential Growth Model and the Linear Regression Model are advantageous to predict the number of affected cases of COVID-19. These models can be used for forecasting in long term intervals. It shows from our result that lockdown with certain restriction has a vital role in preventing the spreading of this epidemic in this current situation.

scholarly journals Production of annual ryegrass with different doses of nitrogen fertilization in topdressing

2019 ◽  
Vol 40 (3) ◽  
pp. 1329
Author(s):  
Delvacir Rezende Bolke ◽  
Ione Maria Pereira Haygert-Velho ◽  
Luiz Carlos Timm ◽  
Dileta Regina Moro Alessio ◽  
Andréa Mittelmann ◽  
...  
Keyword(s):  
Growth Model ◽  
Exponential Growth ◽  
Lolium Multiflorum ◽  
Block Design ◽  
Control Treatment ◽  
Time Interval ◽  
Annual Ryegrass ◽  
Nitrogen Application ◽  
Exponential Growth Model ◽  
Different Doses

The objective of this study was to assess the growth of annual ryegrass (Lolium multiflorum) cv. BRS Ponteio with different doses of nitrogen applied in the pasture, thereby adjusting their growth to the exponential growth model. A randomized block design was used with five nitrogen application rates (0, 150, 250, 350, and 450 kg N ha-1) and four replicates, applied in installments. Each plot measured 9 m2. On April 15, 2014, 25 kg ha-1 of viable pure seeds of annual ryegrass were sown at a depth of 0.02 m, in 18 rows spaced at 0.17 m in each plot. Growth in the control treatment (zero nitrogen) pasture lasted 167 days with only three cuts, whereas in pastures treated with 350 and 450 kg N ha-1, growth was extended for an additional 45 days with a 333% increase in the number of cuts. The pastures were used for the same duration (188 days) in the treatments with 150 and 250 kg N ha-1, however, increased nitrogen resulted in two additional cuts and a shorter time interval between cuts. The time interval between each cut and the degree-days interacted dynamically causing distinct growth. Growth of the annual ryegrass BRS Ponteio without nitrogen application is poor and cannot be represented even by a first order linear model. The application of nitrogen topdressing, in the form of urea, decreases the time interval between cuts, increases the dry matter production per hectare, stimulates this production, and follows the exponential growth model.

Exponential growth model of Nile tilapia (Oreochromis niloticus) strains considering heteroscedastic variance

Aquaculture ◽  
2008 ◽  
Vol 274 (1) ◽  
pp. 96-100 ◽  
Author(s):  
Vander Bruno dos Santos ◽  
Eidi Yoshihara ◽  
Rilke Tadeu Fonseca de Freitas ◽  
Rafael Vilhena Reis Neto
Keyword(s):  
Growth Model ◽  
Exponential Growth ◽  
Oreochromis Niloticus ◽  
Nile Tilapia ◽  
Nile Tilapia Oreochromis Niloticus ◽  
Exponential Growth Model ◽  
Heteroscedastic Variance

WEIGHTED ACCELERATED GROWTH MODEL OF COMPLEX NETWORKS

2007 ◽  
Vol 21 (23n24) ◽  
pp. 4064-4066
Author(s):  
C. C. LEUNG ◽  
H. F. CHAU
Keyword(s):  
Complex Networks ◽  
Structure Formation ◽  
Growth Model ◽  
Real World ◽  
Organizational Structures ◽  
Weighted Network ◽  
The Real ◽  
Accelerated Growth

We introduce and study a toy model which mimics the structure formation of a typical weighted network in the real world. In particular, the organizational structures of our networks are found to be consistent with real-world networks.

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