scholarly journals The impact of low concentrations of aflatoxin, deoxynivalenol or fumonisin in diets on growing pigs and poultry

2003 ◽  
Vol 16 (2) ◽  
pp. 223-239 ◽  
Author(s):  
Yueming Dersjant-Li ◽  
Martin W.A. Verstegen ◽  
Walter J.J. Gerrits
Keyword(s):  
Growth Rate ◽  
Weight Gain ◽  
Linear Regression ◽  
Growing Pigs ◽  
Simple Linear Regression ◽  
Elimination Kinetics ◽  
Growth Depression ◽  
Low Concentrations ◽  
Quantitative Impact ◽  
The Impact

AbstractIn the present review, the quantitative impact of dietary aflatoxin, deoxynivalenol (DON) and fumonisin concentrations on performance of pigs and broilers is evaluated, with special emphasis on low concentrations of these toxins. Also, responses in performance of pigs and broilers to these three toxins are related to their absorption and elimination kinetics. By applying simple linear regression, information from many literature sources is integrated and condensed into, for example, estimates of depression in rates of weight gain, relative to non-contaminated diets, with increasing toxin concentrations. It was estimated that with each mg/kg increase of aflatoxin in the diet, the growth rate would be depressed by 16 % for pigs and 5 % for broilers. For DON, with each mg/kg increase in the diet, the growth depression was estimated at about 8 % for pigs, while broilers showed no response to DON concentrations below 16 mg/kg. Fumonisin showed the lowest impact on growth performance; with each mg/kg increase, the depression in growth rate was estimated at 0·4 and 0·0 % for pigs and broilers, respectively. Dietary concentrations that cause a 5 % reduction in growth rate were estimated at 0·3 and 1·0 mg/kg for aflatoxin for pigs and broilers, respectively; 1·8 and 0·6 mg/kg for pure and naturally contaminated DON for pigs, respectively; 21 and 251 mg/kg for fumonisin for pigs and broilers, respectively.

scholarly journals PENGARUH REVIU RKA-K/L OLEH APIP TERHADAP EFISIENSI ALOKASI ANGGARAN KEMENTERIAN AGAMA

2019 ◽  
Vol 1 (1) ◽  
pp. 12
Author(s):  
Edy Effendi ◽  
Muhammad Imron
Keyword(s):  
Linear Regression ◽  
Simple Linear Regression ◽  
Independent Variables ◽  
Dependent Variables ◽  
Before And After ◽  
The Impact ◽  
The Relationship ◽  
Positive Effect

Research on the role of the APIP review of the Ministry/agency Work Plan and Budget document to determine the impact on the efficiency of ministry/agency spending (case study at the Ministry of Religion). The method used in this study uses simple linear regression with dummy. The use of linear regression is used to examine the relationship between independent variables (certain types of expenditure) and dependent variables (total expenditure). Whereas, dummy is used to find out before and after the APIP review is done. Throughout the author's search, this research has never been done. Based on the results of linear regression obtained, the APIP review significantly had a positive effect on official travel expenditure and honorarium but did not significantly affect building spending and equipment. Abstrak   Penelitian atas peran reviu APIP atas dokumen Rencana Kerja dan Anggaran Kementerian Negara/Lembaga untuk mengetahui dampaknya terhadap efisiensi belanja kementerian/lembaga (studi kasus pada Kementerian Agama). Metode yang digunakan dalam penelitian ini menggunakan regresi linier sederhana dengan dummy. Penggunaan regresi liner digunakan untuk meneliti hubungan antara variable independen (jenis belanja tertentu) dan variable dependen (total belanja). Sedangkan, dummy digunakan untuk mengetahui sebelum dan setelah reviu APIP dilakukan. Sepanjang penelusuran penulis, penelitian ini belum pernah dilakukan. Berdasarkan hasil regresi linier diperoleh, reviu APIP signifikan berpengaruh positif terhadap  belanja perjalanan dinas dan honorarium tetapi tidak signifikan berbengaruh terhadap belanja gedung dan alat.

scholarly journals Pengaruh Dukungan Supervisor dan Pemberdayaan Terhadap Organizational Citizenship Behavior

2014 ◽  
Vol 5 (1) ◽  
pp. 158
Author(s):  
Tinjung Desy Nursanti ◽  
Aida Dwi Anissa
Keyword(s):  
Linear Regression ◽  
Organizational Citizenship ◽  
Organizational Citizenship Behavior ◽  
Primary Data ◽  
Citizenship Behavior ◽  
Survey Method ◽  
Linear Regression Method ◽  
Simple Linear Regression ◽  
Multiple Linear Regression Method ◽  
The Impact

Study aims to determine and obtain a clear picture of supportive supervisor, empowerment, and organizational citizenship behavior; and to determine the impact of supportive supervisor and empowerment towards organizational citizenship behavior of employees in PT Setia Makmur Cemerlang. Research used explanatory survey method, while the sample was taken from employees of the company. Research instrument (questionnaires) was used as primary data collection to explain the causal relationship between supportive supervisor and empowerment on organizational citizenship behavior of employees in PT Setia Makmur Cemerlang. Analysis used simple linear regression and multiple linear regression method. Result of this study shows that there is significant influence between supportive supervisor and empowerment towards organizational citizenship behavior.

scholarly journals Tourism to Socio Culture and Economy of Community in Panusupan Purbalingga

TRIKONOMIKA ◽  
2018 ◽  
Vol 17 (1) ◽  
pp. 14
Author(s):  
Donny Oktavian Syah ◽  
Agung Edi Rustanto
Keyword(s):  
Linear Regression ◽  
Random Sampling ◽  
Quantitative Method ◽  
Tourism Development ◽  
Sampling Technique ◽  
Simple Linear Regression ◽  
The Impact

The aim of this research is to study the impact of tourism development to socio-culture and economy of community in Panusupan village, Rembang, Purbalingga. The research, which was conducted in the end of 2016, uses descriptive quantitative method. Sampling technique used is random sampling technique. Survey was conducted to 100 respondents. The data are analyzied by using simple linear regression The result of this research shows that partially tourism development gives impact 31.5% to socio culture, 45.6% to socio economy whereas the impact of socio culture to socio economy is 32.0% .

Performance of growing pigs fed wheat, barley, or triticale

1984 ◽  
Vol 24 (127) ◽  
pp. 501 ◽  
Author(s):  
RL Davies ◽  
BC Radcliffe
Keyword(s):  
Growth Rate ◽  
Energy Requirement ◽  
Growing Pigs ◽  
Energy Utilization ◽  
Backfat Thickness ◽  
Trypsin Inhibitor Activity ◽  
Beta Glucan ◽  
Growth Depression ◽  
Digestible Energy ◽  
Significant Difference

Four groups of 12 Large White pigs (six boars and six gilts) were fed from 14 to 47 kg liveweight on diets based on Kite wheat, Coorong triticale, Clipper barley or 2231 barley. The diets were formulated to provide 0.56 g lysine/MJ digestible energy and were fed to supply three times the maintenance energy requirement. On both liveweight and carcass weight bases, the pigs fed the diet containing Coorong triticale grew more slowly than those fed Kite wheat (P < 0 01); there were no differences in backfat thickness. The efficiency of utilization of lysine was depressed to a greater extent than that of digestible energy. This was consistent with the lysine limitation of the diets and suggested that the growth depression was mediated through an effect on amino acid rather than energy utilization. Differences between the barley cultivars were less consistent: pigs fed 2231 had significantly higher liveweight but not carcass growth rate. There was no significant difference in backfat thickness. Differences in growth rate and the efficiency of lysine and digestible energy utilization were not associated with differences in trypsin inhibitor activity of the grains, nor was there evidence of undesirable nutritional effects associated with elevated beta glucan in barley 2231.

scholarly journals Estimates of the basic reproduction number for rubella using seroprevalence data and indicator-based approaches

2021 ◽  
Author(s):  
Timos Papadopoulos ◽  
Emilia Vynnycky
Keyword(s):  
Random Forest ◽  
Linear Regression ◽  
Educational Attainment ◽  
Basic Reproduction Number ◽  
Reproduction Number ◽  
Economic Education ◽  
Simple Linear Regression ◽  
Seroprevalence Data ◽  
The Impact ◽  
The Basic Reproduction Number

The basic reproduction number (R0) of an infection determines the impact of its control. For many endemic infections, R0 is often estimated from appropriate country-specific seroprevalence data. Studies sometimes pool estimates from the same region for settings lacking seroprevalence data, but the reliability of this approach is unclear. Plausibly, indicator-based approaches could predict R0 for such settings. We calculated R0 for rubella for 98 settings and correlated its value against 66 demographic, economic, education, housing and health-related indicators. We also trained a random forest regression algorithm using these indicators as the input and R0 as the output. We used the mean-square error to compare the performances of the random forest, simple linear regression and a regional averaging method in predicting R0 using 4-fold cross validation. R0 was <5, 5-10 and >10 for 81, 14 and 3 settings respectively, with no apparent regional differences and in the limited available data, it was usually lower for rural than urban areas. R0 was most correlated with educational attainment, and household indicators for the Pearson and Spearman correlation coefficients respectively and with poverty-related indicators followed by the crude death rate considering the Maximum Information Coefficient, although the correlation for each was relatively weak (Pearson correlation coefficient: 0.4, 95%CI: (0.24,0.48) for educational attainment). A random forest did not perform better in predicting R0 than simple linear regression, depending on the subsets of training indicators and studies, and neither out-performed a regional averaging approach. R0 for rubella is typically low and using indicators to estimate its value is not straightforward. A regional averaging approach may provide as reliable an estimate of R0 for settings lacking seroprevalence data as one based on indicators. The findings may be relevant for other infections and studies estimating the disease burden and the impact of interventions for settings lacking seroprevalence data

scholarly journals Literasi Pajak Pertambahan Nilai (PPN) dan Perilaku Konsumtif pada Generasi Z

Owner ◽  
2022 ◽  
Vol 6 (1) ◽  
pp. 508-516
Author(s):  
Joko Sustiyo
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Financial Literacy ◽  
Linear Regression Analysis ◽  
Simple Linear Regression ◽  
Validity And Reliability ◽  
Simple Linear Regression Analysis ◽  
Generation Z ◽  
Consumptive Behavior ◽  
The Impact

Research on the impact of VAT literacy on consumptive behavior has not been studied in Indonesia. Most studies link financial literacy to consumptive behavior. To find out whether VAT literacy has an effect on consumptive behavior, this study uses simple linear regression analysis. The validity and reliability of the questionnaire instrument was confirmed first, which resulted that all questions on the questionnaire were valid and reliable. Then, the classical assumption test was carried out to ensure that the linear regression model was reliable which concluded that the data were normally distributed and there was no heteroscedasticity. Simple linear regression analysis shows that the predictor has a negative and significant effect on the consumptive behavior of Generation Z. The coefficient value of -1.130 indicates that an increase in VAT literacy by 1 point will reduce the consumptive behavior of Generation Z by 1.130 points. In other words, someone who knows and understands the VAT regulations will have the potential to reduce the consumption of goods and services.

scholarly journals Impact of the Development of Bio-Industrial Agricultural Models on Cattle Growth and Environmental on Dry Land in Tabanan Bali

2019 ◽  
Vol 10 (02) ◽  
pp. 20306-20315
Author(s):  
Berlian Natalia ◽  
I Gst. Ngr Alit Wiswasta ◽  
MP, I Ketut Arnawa ◽  
I Putu Sujana
Keyword(s):  
Weight Gain ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Carrying Capacity ◽  
Descriptive Analysis ◽  
Dry Land ◽  
Survey Techniques ◽  
Weight Growth ◽  
The Impact ◽  
Agriculture Development

The main objectives of this study were (1) to analyze the impact of bioindustrial agriculture development on livestock growth on dry land in Tabanan Bali (2) analyze what factors influence livestock growth in the development of bioindustrial agriculture in Tabanan Bali dry land, (3) analyze the impact the development of bioindustry-based sustainable agriculture on the environment in this case the Carrying Capacity of cattle on dry land in Bali. The study was conducted in Antapan Village with a sample of 45 farmers, data collected by survey techniques using questionnaires. Data were analyzed using descriptive analysis and multiple linear regression. The results of the study found that the impact of the development of bioindustrial farming models could increase cattle weight gain, namely fattening cattle by farmers only averaging 10.5 / kg / month, while cattle fattening on bioindustry farming models was flat average of 18.7 kg / month, the factors that influence the increase in cow weight growth in the bioindustry farming model in Antapan Village are, the amount and type of feed, as well as the amount of labor use, the development of bioindustry farming models have an impact on increasing cattle capacity amounting to 39,6429 head of cattle

scholarly journals ANALISIS PENGARUH TRANSPORTASI ONLINE TERHADAP KESEMPATAN KERJA DAN KESEJAHTERAAN DI KOTA MEDAN

2019 ◽  
Vol 4 (2) ◽  
pp. 100-113
Author(s):  
Ian Alfian Ian Alfian ◽  
Eka Purnama Sari ◽  
Talia Yuedrika
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Test Results ◽  
Indirect Test ◽  
Simple Linear Regression ◽  
Analysis Model ◽  
Employment Opportunities ◽  
Motorcycle Taxi ◽  
The Impact

This study aims to determine the influence of online transportation on employment opportunities and welfare in Medan City. The method used is a quantitative approach based on the path analysis with a simple linear regression analysis model. The results of the study showed that around 64,9% variables of online transportation explained by changes in variables of employment opportunities and welfare in in Medan City, while the test 35,1% is explained by other factors. About 33,4% of the variables of online transportation affected by employment opportunities and around 31.5% of the online transportation variables aff ected the welfare variable. The significance of the indirect test results indicates that there was an indirect effect of the variable online transportation on welfare through employment opportunities signifi cantly. The impact of this study is there is a significant influence on employment opportunities and community welfare in in Medan City with an Online Motorcycle taxi that can absorb labor and increase the income of UMKM through various services available in the online motorcycle taxi application.

scholarly journals Climate Variability and Change Affect Crops Yield under Rainfed Conditions: A Case Study in Gedaref State, Sudan

Agronomy ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 1680
Author(s):  
Maysoon A. A. Osman ◽  
Joshua Orungo Onono ◽  
Lydia A. Olaka ◽  
Muna M. Elhag ◽  
Elfatih M. Abdel-Rahman
Keyword(s):  
Linear Regression ◽  
Climate Variability ◽  
Crop Yield ◽  
Rainy Season ◽  
Annual Rainfall ◽  
Maximum Temperature ◽  
Simple Linear Regression ◽  
Climate Variability And Change ◽  
Crops Yield ◽  
The Impact

It is projected that, on average, annual temperature will increase between 2 °C to 6 °C under high emission scenarios by the end of the 21st century, with serious consequences in food and nutrition security, especially within semi-arid regions of sub-Saharan Africa. This study aimed to investigate the impact of historical long-term climate (temperature and rainfall) variables on the yield of five major crops viz., sorghum, sesame, cotton, sunflower, and millet in Gedaref state, Sudan over the last 35 years. Mann–Kendall trend analysis was used to determine the existing positive or negative trends in temperature and rainfall, while simple linear regression was used to assess trends in crop yield over time. The first difference approach was used to remove the effect of non-climatic factors on crop yield. On the other hand, the standardized anomaly index was calculated to assess the variability in both rainfall and temperature over the study period (i.e., 35 years). Correlation and multiple linear regression (MLR) analyses were employed to determine the relationships between climatic variables and crops yield. Similarly, a simple linear regression was used to determine the relationship between the length of the rainy season and crop yield. The results showed that the annual maximum temperature (Tmax) increased by 0.03 °C per year between the years 1984 and 2018, while the minimum temperature (Tmin) increased by 0.05 °C per year, leading to a narrow range in diurnal temperature (DTR). In contrast, annual rainfall fluctuated with no evidence of a significant (p > 0.05) increasing or decreasing trend. The yields for all selected crops were negatively correlated with Tmin, Tmax (r ranged between −0.09 and −0.76), and DTR (r ranged between −0.10 and −0.70). However, the annual rainfall had a strong positive correlation with yield of sorghum (r = 0.64), sesame (r = 0.58), and sunflower (r = 0.75). Furthermore, the results showed that a longer rainy season had significant (p < 0.05) direct relationships with the yield of most crops, while Tmax, Tmin, DTR, and amount of rainfall explained more than 50% of the variability in the yield of sorghum (R2 = 0.70), sunflower (R2 = 0.61), and millet (R2 = 0.54). Our results call for increased awareness among different stakeholders and policymakers on the impact of climate change on crop yield, and the need to upscale adaptation measures to mitigate the negative impacts of climate variability and change.

scholarly journals IMPACT OF TRANSFER PRICING ON FOREIGN DIRECT INVESTMENT IN ROMANIA

2021 ◽  
Vol 14(63) (2) ◽  
pp. 141-150
Author(s):  
Ileana Tache ◽  
◽  
Mihaela Paraschiva Luca ◽  
Keyword(s):  
Foreign Direct Investment ◽  
Linear Regression ◽  
Least Squares ◽  
Direct Investment ◽  
Least Squares Method ◽  
Transfer Pricing ◽  
Point Of View ◽  
Simple Linear Regression ◽  
Statistical Point ◽  
The Impact

The purpose of the study presented in this paper is to analyse the impact of transfer pricing on foreign direct investment (FDI) in Romania. For attaining this goal, we performed a simple linear regression by the least squares method to study the impact of adjustments of tax obligations in the field of transfer pricing on foreign direct investment in the period 2011-2019.We have proved, from a statistical point of view, that there is a relationship between foreign direct investment and adjustments to tax liabilities resulting from transfer pricing

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