scholarly journals Meteorological Detrending of Ozone at Three Sites in the Dallas-Fort Worth Area: Application of KZ Filter Method

Atmosphere ◽  
2020 ◽  
Vol 11 (11) ◽  
pp. 1226
Author(s):  
Poojan Upadhaya ◽  
Hongbo Du ◽  
Raghava R. Kommalapati
Keyword(s):  
Regression Analysis ◽  
Solar Radiation ◽  
Total Variation ◽  
Fort Worth ◽  
Short Term ◽  
Temporal Separation ◽  
Daily Average ◽  
Kz Filter ◽  
Increasing Trend

The Dallas-Fort Worth (DFW) area that experiences high temperature and intense solar radiation falls into the moderate nonattainment classification. The variation in meteorological parameters plays an important role in ambient ozone levels variation. Meteorological influences need to be decoupled from ozone data for long-term trend analysis. Temporal separation of maximum daily average 8-h ozone (MDA8 ozone), maximum daily temperature (TMAX), daily average solar radiation (DASR), and daily average wind speed (DAWS) were conducted using Kolmogorov-Zurbenko (KZ) filter for ozone records at Keller (C17), Arlington (C61), Red Bird (C402) monitoring stations in the DFW area from 2003 to 2017. Temporal separation, regression analysis, and meteorological detrending were performed. The long-term component had a clear and stable trend. The contribution of the long-term component to total variation was negligible, which is less than 2%. This is due to the removal of the data noise from the original time series data. The seasonal component had a major contribution (55% to 72%) in the total variation of the maximum temperature and solar radiation. However, the short-term component was dominant in the total variation of the MDA8 ozone (41–54%) and wind speed (68–79%). Regression analysis showed the baseline component bears the highest correlation than the short-term and raw. Solar radiation had the highest correlation to the MDA8 ozone, followed by temperature data in all three stations. Meteorological detrending showed the detrended long-term ozone had an increasing trend. The increasing trend was significant at C402 with a trend of 0.19 ± 0.006 ppb/y (0.398 R2), whereas slight increasing trends were found at C17 (0.072 ± 0.006 (0.107 R2)) and at C61 (0.019 ± 0.007 (0.005 R2)). The increasing trend of long-term components of MDA8 ozone was justified by the increasing level of NOx and VOCs from the mobile sources in the DFW area.

scholarly journals IMPLANTS AND INJECTIONS ARE FAVORITE CONTRACEPTION TOOLS IN SUMATERA SELATAN

2019 ◽  
Vol 5 (3) ◽  
pp. 147-150
Author(s):  
Mukni Mukni
Keyword(s):  
Regression Analysis ◽  
Family Planning ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Simple Linear Regression ◽  
Contraceptive Methods ◽  
Poverty Level ◽  
Short Term ◽  
Simple Linear Regression Analysis

Background: The choice of contraception by family planning acceptors greatly determines the success rate of the family planning program, because not all contraceptives are suitable for someone. This study aims to determine what types of contraceptives chosen by family planning acceptors and whether there is a relationship between the selection of contraceptives there is a relationship with the poverty level in the District / City in South Sumatra in 2015, 2016 and 2017. The source of data obtained from the Provincial BPS South Sumatra. Methodology: This study uses a descriptive approach with a simple linear regression analysis method. Results: The results of the analysis were grouped into two, first long-term contraception method KB IUD, MOW, MOP and implants, both short-term contraceptive methods namely injection KB, pill and condom from 17 regencies / cities in South Sumatra. Conclusion: contraception devices that are mostly chosen by long-term contraceptive methods are implants (10000-35000) or 10-20 times larger than other contraceptives. Short-term contraceptive methods are injections, (7700 - 76000) or 5-7 times greater than other contraceptives. From the simple linear regression analysis it turns out that the relationship of long-term contraceptive selection by acceptors with the poverty level is R² = 0.7382 and the short-term method R² = 0.9223. District / City Governments in South Sumatra should provide alokon (contraceptive devices and drugs) in accordance with the type and amount in the field to be on target

scholarly journals PENGARUH UTANG TERHADAP PROFITABILITAS PADA PERUSAHAAN FOOD & BEVERAGE YANG TERDAFTAR DI BURSA EFEK INDONESIA PERIODE 2011-2015

2017 ◽  
Vol 5 (1) ◽  
Author(s):  
Maizah Rosita ◽  
Rilla Gantino
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Sampling Method ◽  
Secondary Data ◽  
Short Term ◽  
Return On Assets ◽  
Return On Equity ◽  
Financial Report ◽  
Test Result

The purpose of this research is to determine the effect of The Debt (Long Term Liabilities to Total Assets and Liabilities Total Assets) to the return on assets, return on equity and earning per share. The research used secondary data from annual financial report  of Food & Beverage Company from 2011-2015 listed on BEI,  used  purposive sampling method and used multiple regression analysis. Based on the test result of simultan or test F The Long Term Liabilities to Total Assets and Short Term Liabilities is significant to the Return On Assets, Return On Equity and Earning per share. Result of partial test  or T Test, Long Term Liabilities to Total Assets is not significant on Return On assets, Short Term Liabilities to Total Assets is significant on Return on Assets. Long Term Liabilities to Total Assets is not significant to Return On Equity, Short Term Liabilities to Total Assets significant to Return On Equity, Long Term Liabilities to Total Assets in not significant to Earning per share, and Short Term Liabilities to Total assets is significant to Earning per share.

scholarly journals Conventional and Current way of Interpretation and Cost Forecasting

2020 ◽  
Vol 1 (6) ◽  
pp. 30-33
Author(s):  
Shahin ripon Nazmul ◽  
Riyaaz Sanjoy
Keyword(s):  
Regression Analysis ◽  
Production Process ◽  
Cross Section ◽  
Series Data ◽  
Cross Section Data ◽  
Short Term ◽  
Section Data ◽  
Production Factors ◽  
Cost Forecasting

This study discuses Short-term cost interpretation, regression analysis with time-series data, long term cost interpretation, Regression analysis using cross-section data, cost forecasting and Changes in the productivity of production factors. Short-term cost interpretation lead to short-term decisions, the concept of incramental costs has a very important role which includes variable costs and changes in fixed costs.  Long term cost interpretation to analyze the production function of several different firms, long-run cost estimates can be used. Based on these conditions, the estimation of long-term costs uses cross-section data. Forecasting costs for various levels of output in the coming period requires an assessment of changes in the efficiency of the production process physically, plus changes in the prices of production factors used in the production process.

USE OF REGRESSION ANALYSIS IN FORECAST TASKS

2020 ◽  
pp. 22-27
Author(s):  
E.S. Lartseva ◽  
◽  
A.D. Kuznetsova
Keyword(s):  
Regression Analysis ◽  
Animal Population ◽  
Short Term ◽  
Statistical Estimates ◽  
Term Forecast ◽  
Applied Software ◽  
The Family ◽  
The Russian Federation

Based on official statistics on the number, of representatives of the family of non-ruminant cloven-hoofed animals (Artiodactyl) on the territory of the Russian Federation. Using the example of two species: domestic pigs and wild boars, the dynamics of the indicator for the long term is analyzed. Multidirectional trends were revealed for each species. Mathematical models of the dynamics of the livestock were obtained using the methods of regression analysis and applied software. Statistical estimates of the quality of animal population models were obtained. The short-term forecast for 2020 has been fulfilled.

scholarly journals Spatial and temporal variations of the concentrations of PM<sub>10</sub>, PM<sub>2.5</sub> and PM<sub>1</sub> in China

2015 ◽  
Vol 15 (23) ◽  
pp. 13585-13598 ◽  
Author(s):  
Y. Q. Wang ◽  
X. Y. Zhang ◽  
J. Y. Sun ◽  
X. C. Zhang ◽  
H. Z. Che ◽  
...  
Keyword(s):  
Northeast China ◽  
Southern China ◽  
Northern China ◽  
Temporal Variations ◽  
Substantial Contribution ◽  
Short Term ◽  
Leading Role ◽  
Variation Patterns ◽  
Increasing Trend

Abstract. Concentrations of PM10, PM2.5 and PM1 were monitored at 24 CAWNET (China Atmosphere Watch Network) stations from 2006 to 2014. The highest particulate matter (PM) concentrations were observed at the stations of Xian, Zhengzhou and Gucheng, on the Guanzhong Plain and the Huabei Plain (HBP). The second highest PM concentrations were observed in northeast China, followed by southern China. According to the latest air quality standards of China, 14 stations reached the PM10 standard, and only 7 stations, mainly rural and remote stations, reached the PM2.5 standard. The ratios of PM2.5 to PM10 showed a clear increasing trend from northern to southern China, because of the substantial contribution of coarse mineral aerosol in northern China. The ratios of PM1 to PM2.5 were higher than 80 % at most stations. PM concentrations tended to be highest in winter and lowest in summer at most stations, and mineral dust influenced the results in spring. A decreasing interannual trend was observed on the HBP and in southern China for the period 2006 to 2014, but an increasing trend occurred at some stations in northeast China. Bimodal and unimodal diurnal variation patterns were identified at urban stations. Both emissions and meteorological variations dominate the long-term PM concentration trend, while meteorological factors play a leading role in the short term.

scholarly journals Analysis of ratio of global to extra-terrestrial radiation (clearness index) at some tropical locations in India

2017 ◽  
Vol 21 (3) ◽  
pp. 1379-1387
Author(s):  
Shanmugham Ravichandran ◽  
Jebamani Rathnaraj
Keyword(s):  
Solar Radiation ◽  
South India ◽  
Correlation Equations ◽  
Clearness Index ◽  
Diffuse Solar Radiation ◽  
Daily Average ◽  
Proposed Model ◽  
Performance Statistics ◽  
Term Data

An attempt has been made to analyze and evaluate the daily average clearness index (Hg/H0) in terms of daily average cloudiness index (Hd/H0) for three tropical locations in South India (Chennai, Trivandrum, and Visakapatnam). Long term data (15 years, 1993-2007) of measured daily average global and diffuse solar radiation for the locations have been used for this study. Two correlation equations (linear and polynomial) for each location have been developed for clearness index in terms of cloudiness index and found its validity. Performance statistics of the model has been done and applicability of the model is done by comparing the performance statistics with the existing models. It has been found that the proposed model has least error compared with the existing models.

The Impact of Paternity Leave Compared to Unemployment on Child Care and Housework Distribution in Spain

2021 ◽  
pp. 0192513X2110544
Author(s):  
Gerardo Meil ◽  
Jesús Rogero-García ◽  
Pedro Romero-Balsas ◽  
Vicente Díaz-Gandasegui
Keyword(s):  
Regression Analysis ◽  
First Year ◽  
Fertility Survey ◽  
Short Term ◽  
Family Obligations ◽  
Positive Effects ◽  
Paternity Leave ◽  
Foster Father ◽  
The Impact

Paternity leave has been introduced in many countries as a way to foster father´s co-responsibility in family obligations. This study aims \to analyse, for the Spanish case, if (1) the positive effects of the paternity leave are not only limited to the short term, but are maintained at medium and long term; (2) if a similar effect applies in the case of unemployment periods. Based on a subsample of 3388 cases derived from the Spanish Fertility Survey 2018, we perform OLS regression analysis of father´s involvement in childcare and housework. Our analysis shows that longer leaves are related to a greater involvement in care and housework activities, although only in the former, the effect is maintained in the long term. Regarding unemployed fathers, these individuals show more involvement in childcare during the first year, but the effect vanishes later and there is no significant relationship with housework.

scholarly journals Analysis of Meteorological Factor Multivariate Models for Medium- and Long-Term Photovoltaic Solar Power Forecasting Using Long Short-Term Memory

2020 ◽  
Vol 11 (1) ◽  
pp. 316
Author(s):  
Namrye Son ◽  
Mina Jung
Keyword(s):  
Wind Speed ◽  
Solar Radiation ◽  
Cloud Cover ◽  
Solar Power ◽  
Short Term Memory ◽  
Numerical Models ◽  
Short Term ◽  
Term Memory ◽  
Long Short Term Memory

Solar power generation is an increasingly popular renewable energy topic. Photovoltaic (PV) systems are installed on buildings to efficiently manage energy production and consumption. Because of its physical properties, electrical energy is produced and consumed simultaneously; therefore solar energy must be predicted accurately to maintain a stable power supply. To develop an efficient energy management system (EMS), 22 multivariate numerical models were constructed by combining solar radiation, sunlight, humidity, temperature, cloud cover, and wind speed. The performance of the models was compared by applying a modified version of the traditional long short-term memory (LSTM) approach. The experimental results showed that the six meteorological factors influence the solar power forecast regardless of the season. These are, from most to least important: solar radiation, sunlight, wind speed, temperature, cloud cover, and humidity. The models are rated for suitability to provide medium- and long-term solar power forecasts, and the modified LSTM demonstrates better performance than the traditional LSTM.

scholarly journals Pulmonary Embolism Readmission Trend Over the Years: A National Readmission Database Study

2021 ◽  
Author(s):  
Mukunthan Murthi ◽  
Sujitha Velagapudi ◽  
Dae Yong Park ◽  
Hafeez Shaka
Keyword(s):  
Pulmonary Embolism ◽  
Acute Pulmonary Embolism ◽  
Cox Regression ◽  
Short Term ◽  
Number Of Patients ◽  
Increasing Trend ◽  
And Gender ◽  
Acute Pe ◽  
National Readmission Database

Abstract: Introduction: Acute pulmonary embolism (PE) is known to be associated with significant short-term and long-term complications. However, with the evolution of PE management, the outcomes of PE-related complications and the need for readmission have not been well studied. The aim of this study is to see the trend in readmissions in PE patients from the years 2010 to 2018. Methods: We utilized the National Readmission Database from 2010 to 2018 to identify hospitalized patients with a principal diagnosis of acute pulmonary embolism. Identified the total number of readmissions for acute PE from 2010 to 2018. A multivariate cox regression model was used to identify independent predictors of readmission. Results: The number of patients with 30-day readmissions has gradually increased from 14,508 in 2010 to 19,703 in 2018. The proportion of females admitted was higher than males in all years. The 30-day all-cause readmission after principal admission for PE decreased from 11.2% to 9.7% from 2010 to 2014 but increased to 11.8% in 2018 (p<0.001). Risk-adjusted readmission specific for PE showed a decrease from 1.2 to 1% (p=0.023) from 2010 to 2018. When adjusted to age and gender, an increase in the proportion of readmissions with intracranial bleeding was seen among both the 30-day (0.7% in 2010 to 1.2% in 2018, aOR 1.06, p<0.001) and 90-day (0.7% in 2010 to 1.2% in 2018, aOR 1.06, p-trend 0.003) cohorts. Similarly, an increasing trend of readmissions for UGI bleed was seen among both 30-day (0.9% vs 4.3%, aOR=1.26, p-trend <0.001) and 90-day readmissions (0.7% vs 3.8%, aOR=1.27, p-trend <0.001). The units of blood transfusion required per readmission reduced in both cohorts during the study period. Conclusion: Our study suggests that there is a statistically significant decrease in PE-specific readmission from 2010 to 2018, but an increase in all-cause readmissions. We also report an increase in non-major bleeding during readmissions, including ICH and UGI bleed. These findings warrant further studies to elucidate the mechanism for decreasing PE-specific readmission but possible causes for the increase in all-cause readmission in the hope of optimizing management and continuing improving outcomes.

scholarly journals Reaching for the Vulnerables: Assessing the Impact of Digital Financial Inclusion to the MSME Household’s Vulnerability to Poverty

2020 ◽  
Vol 4 (1) ◽  
pp. 73-96
Author(s):  
Gilbert ◽  
Pricilia Meidy Winengko ◽  
Adho Adinegoro
Keyword(s):  
Regression Analysis ◽  
Family Life ◽  
Poverty Alleviation ◽  
Financial Inclusion ◽  
Short Term ◽  
Vulnerability To Poverty ◽  
Indonesian Family Life Survey ◽  
Using Data ◽  
The Impact

The COVID-19 pandemic has affected most parts of society, one of which is the MSME household. Although various assistance has been addressed to this sector in the short term, a long-term strategy through digital financial inclusion is needed to reduce the vulnerability of MSME households to falling into poverty in the long term. Using data from the Indonesian Family Life Survey 2014, this study investigates the impact of digital finan-cial inclusion on the vulnerability of MSME households in Indonesia and in East Java. The OLS and 2SLS analysis shows that digital financial inclusion helped reduce the poverty vulnerability of MSME households significantly. Further logistic regression analysis also shows that the reduction of poverty vulnerability occurred both in the risk-induced and structural vulnerabilities. Based on the findings, this study recommends policy stakeholders to formulate a digital financial inclusion strategy as one of the alternative policies for poverty alleviation in Indonesia.

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