Millet-Production Analysis

2021 ◽  
pp. 79-107
Author(s):  
Camilla Toulmin

Analysis of millet-production shows the size and variability of returns to different farm inputs, for each of the millet varieties. Regression analysis is based on the Cobb-Douglas production function, to generate a set of marginal returns to factors between uses, from one year to the next and between farmers. Farmers make decisions based on past experience and in a context of uncertainty about the future. The principal inputs are described for analysis of village-field and bush-field millet varieties, their measurement and representation in regression equations. Results from the analysis are presented to show the relative significance of each factor, and the high levels for R2 associated with manure use, plough-team use, and the soil dummy variable. The labour variable was more problematic. Analysis of the residual error term permitted a review of each farming household, difficulties in accurately measuring particular variables, and significant differences in farmers’ knowledge, aptitude and judgement.

2018 ◽  
Vol 9 (9) ◽  
pp. 825-832
Author(s):  
James M. Alin ◽  
◽  
Datu Razali Datu Eranza ◽  
Arsiah Bahron ◽  
◽  
...  

Seaweed-Kappaphycus-Euchema Cottonii and Denticulum species was first cultivated at Sabah side of Sebatik in 2009. By November 2014, sixty one Sabahan seaweed farmers cultivated 122 ha or 3,050 long lines. Thirty Sabahan seaweed farmers in Kampung Pendekar (3.2 m.t dried) and 31 in Burst Point (12.5 m.t dried) produced 16 metric tonnes of dried seaweed contributed 31% to Tawau’s total production (51 m.t). The remaining 69% were from farmers in Cowie Bay that separates Sebatik from municipality of Tawau. Indonesian in Desa Setabu, Sebatik started in 2008. However, the number of Indonesian seaweed farmers, their cultivated areas and production (as well as quality) in Sebatik increased many times higher and faster than the Sabah side of Sebatik. In 2009 more than 1,401 households in Kabupaten Nunukan (including Sebatik) cultivated over 700 ha and have produced 55,098.95 and 116, 73 m.t dried seaweed in 2010 and 2011 respectively. There is a divergence in productions from farming the sea off the same island under similar weather conditions. Which of the eight explanatory factors were affecting production of seaweeds in Sebatik? Using Cobb Douglas production function, Multiple Regression analysis was conducted on 100 samples (50 Sabahan and 50 Indonesian). Results; Variable significant at α = 0.05% are Experience in farming whereas Farm size; Quantity of propagules and Location — Dummy are the variables significant at α 0.01%. Not significant are variables Fuel; Age; Number of family members involved in farming and Education level.


2020 ◽  
Vol 26 (7) ◽  
pp. 1610-1630
Author(s):  
E.L. Prokop'eva

Subject. The article investigates and quantifies factors of insurance markets functioning in Russian regions, and reveals possibilities to manage them. Objectives. The purpose of the study is to substantiate regional factors that determine the specifics of regional insurance market development; to quantify them to increase the efficiency of regional insurance. Methods. The study draws on statistical methods, functional analysis, algorithm development, correlation and regression analysis. Results. I calculated coefficients of pair and multiple correlation with the indicators of insurance markets in the context of the subjects of the Russian Federation, and composed regression equations. Based on the analysis, I determined the algorithm for inverse effect of the insurance market on the economic, social, fiscal and environmental performance of the region, offered appropriate measures aimed at developing the economic potential of the region and its social sphere. Conclusions. The paper considers the case of the Republic of Khakassia, one of depressed subjects in the Siberian Federal District. The developed models can be used for other regions of Russia, given the geographical and economic features of development. The findings may help generate regional strategies for socio-economic development at the country level. The scientific contribution and the novelty of the work consist of systematizing and quantifying the factors affecting the insurance mechanisms of regional markets, and assessing the inverse effect of insurance mechanisms on integrated development of the region.


2021 ◽  
Vol 99 (Supplement_1) ◽  
pp. 218-219
Author(s):  
Andres Fernando T Russi ◽  
Mike D Tokach ◽  
Jason C Woodworth ◽  
Joel M DeRouchey ◽  
Robert D Goodband ◽  
...  

Abstract The swine industry has been constantly evolving to select animals with improved performance traits and to minimize variation in body weight (BW) in order to meet packer specifications. Therefore, understanding variation presents an opportunity for producers to find strategies that could help reduce, manage, or deal with variation of pigs in a barn. A systematic review and meta-analysis was conducted by collecting data from multiple studies and available data sets in order to develop prediction equations for coefficient of variation (CV) and standard deviation (SD) as a function of BW. Information regarding BW variation from 16 papers was recorded to provide approximately 204 data points. Together, these data included 117,268 individually weighed pigs with a sample size that ranged from 104 to 4,108 pigs. A random-effects model with study used as a random effect was developed. Observations were weighted using sample size as an estimate for precision on the analysis, where larger data sets accounted for increased accuracy in the model. Regression equations were developed using the nlme package of R to determine the relationship between BW and its variation. Polynomial regression analysis was conducted separately for each variation measurement. When CV was reported in the data set, SD was calculated and vice versa. The resulting prediction equations were: CV (%) = 20.04 – 0.135 × (BW) + 0.00043 × (BW)2, R2=0.79; SD = 0.41 + 0.150 × (BW) - 0.00041 × (BW)2, R2 = 0.95. These equations suggest that there is evidence for a decreasing quadratic relationship between mean CV of a population and BW of pigs whereby the rate of decrease is smaller as mean pig BW increases from birth to market. Conversely, the rate of increase of SD of a population of pigs is smaller as mean pig BW increases from birth to market.


2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
P.F Cromhout ◽  
A.V.C Christensen ◽  
M.B.J Joergensen ◽  
O.E Ekholm ◽  
K.J Juel ◽  
...  

Abstract Background Anxiety among cardiac patients is highly prevalent and is associated to poor outcomes. Certain types of psychotropic medication are suspected of causing adverse events in cardiac patients. However, an association between symptoms of anxiety and use of psychotropic medication among cardiac patients has not yet been established. Purpose The objective was to explore the association between anxiety (measured by HADS-A) and use of psychotropic medication among cardiac patients. Methods All study participant were identified from the DenHeart study and data were a combination of patient-reported survey data and baseline and follow-up data from Danish national registers. Information on redeemed prescriptions of psychotropic medication was obtained from The Danish National Prescription Registry. Anxiety symptoms were defined by a HADS-A score≥8. Patients were defined as users of psychotropic medication if they had redeemed at least one prescription one and three years after discharge. Psychotropic medication was classified by Anatomical Therapeutic Chemical Classification (ATC) codes. Multiple logistic regression analysis within one year and Cox regression analysis within three year from discharge was conducted to determine the association between symptoms of anxiety and use of psychotropic medication. Results Among the 12,913 cardiac patients included, a total of 3231 (28%) redeemed at least one prescription of psychotropic medication within one year and 4726 (37%) within three years after discharge. The most commonly used drugs were benzodiazepines and antidepressants. Among patients using psychotropic medication 1481 (46%) had a HADS-A score ≥8. Cardiac patients with symptoms of anxiety had significantly higher odds of using psychotropic medication within one year from discharge OR 2.47 (95% CI 2.25; 2.72). The increased risk of use of psychotropic medication was confirmed with a almost two-fold risk after three years, HR 1.92 (95% CI 1.80; 2.04), Table 1. Conclusion Cardiac patients with symptoms of anxiety measured by HADS were significantly more likely to use psychotropic medication within one and three years after discharge than cardiac patients without symptoms of anxiety. Funding Acknowledgement Type of funding source: Foundation. Main funding source(s): Novo Nordisk Foundation


2021 ◽  
Author(s):  
Jie Zhao ◽  
Chao Yue ◽  
Philippe Ciais ◽  
Xin Hou ◽  
Qi Tian

<p>Wildfire is the most prevalent natural disturbance in the North American boreal (BNA) forest and can cause post-fire land surface temperature change (ΔLST<sub>fire</sub>) through biophysical processes. Fire regimes, such as fire severity, fire intensity and percentage of burned area (PBA), might affect ΔLST<sub>fire</sub> through their impacts on post-fire vegetation damage. However, the difference of the influence of different fire regimes on the ΔLST<sub>fire</sub> has not been quantified in previous studies, despite ongoing and projected changes in fire regimes in BNA in association with climate change. Here we employed satellite observations and a space-and-time approach to investigate diurnal ΔLST<sub>fire</sub> one year after fire across BNA. We further examined potential impacts of three fire regimes (i.e., fire intensity, fire severity and PBA) and latitude on ΔLST<sub>fire</sub> by simple linear regression analysis and multiple linear regression analysis in a stepwise manner. Our results demonstrated pronounced asymmetry in diurnal ΔLST<sub>fire</sub>, characterized by daytime warming in contrast to nighttime cooling over most BNA. Such diurnal ΔLST<sub>fire</sub> also exhibits a clear latitudinal pattern, with stronger daytime warming and nighttime cooling one year after fire in lower latitudes, whereas in high latitudes fire effects are almost neutral. Among the fire regimes, fire severity accounted for the most (43.65%) of the variation of daytime ΔLST<sub>fire</sub>, followed by PBA (11.6%) and fire intensity (8.5%). The latitude is an important factor affecting the influence of fire regimes on daytime ΔLST<sub>fire</sub>. The sensitivity of fire intensity and PBA impact on daytime ΔLST<sub>fire</sub> decreases with latitude. But only fire severity had a significant effect on nighttime ΔLST<sub>fire</sub> among three fire regimes. Our results highlight important fire regime impacts on daytime ΔLST<sub>fire</sub>, which might play a critical role in catalyzing future boreal climate change through positive feedbacks between fire regime and post-fire surface warming.</p>


Author(s):  
М. О. Dmitriev

Modern dentistry requires the definition of individualized values of teleroentgenographic indicators. To solve such problems, methods of regression and correlation analysis are increasingly used, which help to establish not only the existence of various relationships between the anatomical structures of the head and the parameters of the dento-jaw system, but also allow more accurately predict the change in the contour of soft facial tissue in response to orthodontic treatment. The purpose of the study is to develop mathematical models for the determination of individual teleroentgenographic characteristics of the facial soft tissues by studying the cephalometric indices of young men and women of Ukraine with normal occlusion and balanced faces and conducting a direct stepwise regression analysis. With the use of Veraviewepocs 3D device, Morita (Japan) from 38 young men (17 to 21 years of age) and 55 young women (aged from 16 to 20 years) with occlusal close to the orthognathic bite and balanced faces received side teleroentgenograms. The cephalometric analysis was performed using OnyxCeph³™ licensed software. Cephalometric points and measurements were made according to the recommendations of Downs W. B., Holdway R. A., McNamara J., Schwarz A. M., Schmuth G. P. F., Steiner C. C. and Tweed C. H. With the help of direct stepwise regression analysis, in the licensed package “Statistica 6.0”, regression models of individual teleroentgenographic characteristics of the profile of soft facial tissues were constructed. In young men with normal occlusion close to the orthognathic bite of 19 possible models, 11 were constructed with a determination coefficient from 0.638 to 0.930, and in young women – 12 models with a determination coefficient from 0.541 to 0.927. The conducted analysis of models showed that in young men most often the regression equations included – angle N_POG, parameters of which indicate a linear interjaw relation in the anterior-posterior direction (14.0%); angle GL_SNPOG, or index of convexity of the soft tissue profile (8.8%); MAX maxillary length (7.0%), and GL_SN_S index, which defines vertical correlations in the facial profile (5.3%). The young women most often models included – the angle N_POG (12.5%); angle GL_SNPOG (7.5%); soft tissue front angle P_OR_N (6.25%); the reference angle ML_NL and the profile angle T (by 5.0%); the angle AB_NPOG, the angle NBA_PTGN, which defines the direction of development of the mandible and the distance PN_A (3.75%). Thus, in the work with the help of the method of stepwise regression with inclusion, among Ukrainians of adolescence age, based on the characteristics of teleroentgenographic indicators, reliable models of individual teleroentgenographic characteristics of the profile of soft facial tissues were developed and analyzed.


2021 ◽  
Author(s):  
Jared C. Allen

In response to concerns that some of the most methodologically rigorous predictive studies of criminal offender characteristics may yet be less generalizable and applicable than advertised or assumed, this research first tests how well seven regression analysis models (represented by 28 equations) predict characteristics across three conditions: familiar cases (used to create the regressions), less familiar cases (native to the sample used to create the regressions) and foreign cases (from a similar but novel sample). Here a linear trend shows overfitting of the models to their own sample: a drop-off in prediction accuracy relative to simple mean-based prediction as cases become more foreign (ηp 2 = .646). In response to hopes that subjective input from expert police investigators could be integrated into the models to correct for this overfitting bias, this research also tests an algorithm combining expert ratings with the regression equations. Here moderate and significant improvement in novel-case prediction is observed overall (p = .036, r = .44) and equations for all twelve expert participants are shown to improve prediction to varying degrees. These results suggest that current best methods would perform poorly in the field, but can be improved by expert insight.


2014 ◽  
Vol 1 (1) ◽  
pp. 51
Author(s):  
Fibria Anggraini P.L ◽  
Waluyo Waluyo

The purpose of this study was to analyze the factors that affect tax compliance (tax compliance) individual taxpayers in the KPP Kebayoran Baru Tiga, South Jakarta. This study used a questionnaire survey design as an instrument. Respondents in this study were 85 individual taxpayers entrepreneur tax register at least one year and to submit the SPT.This study uses the variable individual behavior, motivation and organizational climate as the independent variable and tax compliance individual taxpayers as the dependent variable. Data analysis was performed using multiple linear regression analysis with SPSS for Windows Version 19.00. The results of this study indicate that individual behavior, motivation and organizational climate have significant effect on tax compliance individual taxpayers .


2021 ◽  
pp. 108-128
Author(s):  
Camilla Toulmin

This chapter describes problems associated with marginal returns analysis and the form taken by the Cobb-Douglas production function. It goes on to compare the returns to production of bush- and village-field millet, for 1980 and 1981, and discusses the wide divergence in returns between crops within and between years. This is followed by comparison of returns to different factors of production with the prices at which these are occasionally available, before reviewing the reasons for some farmers showing markedly different returns from the average.


Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 256-256
Author(s):  
Dru Haines ◽  
Susan Carson ◽  
Sage Green ◽  
Marie Martin ◽  
Thomas D. Coates ◽  
...  

Abstract Abstract 256 Background: Pain is not a symptom generally associated with thalassemia. However, healthcare providers have anecdotally noted increasing patient reports of chronic pain over the last decade creating an impetus for the TCRN to conduct this prospective, observational assessment of pain in patients with thalassemia over the age of 12. Study goals include assessment of pain prevalence, severity and sites and whether these factors are impacted by age, gender or diagnosis. Methods: Pain was assessed quarterly using the Brief Pain Inventory (BPI). Two hundred fifty-one thalassemia patients ranging in age from 12 to 71 (average age of 28.75) receiving care at one of 12 thalassemia centers across the US and Canada participated in the study. Fifty-four percent of participants were female. Diagnoses included: Beta Thalassemia (80%), E Beta thalassemia (11%), Hemoglobin H and H Constant Spring (6%) and other thalassemia conditions (3%). Eighty percent of participants were chronically transfused, 6% intermittently transfused and 14% had never been transfused. This report reviews baseline findings. Results: At study entry, 64% of the 251 participants reported experiencing pain over the last four weeks, of whom 21% reported pain on a daily basis. In comparison, 26% of the American public, 20 years and older, reported pain over a one month period according to National Center for Health Statistics data, 2006. Ordinal regression analysis of participant ratings of worst, least, and average pain over the last seven days demonstrated significant (p<0.001) correlation of increased age with increased pain across all categories irrespective of diagnosis, transfusion status or gender. Similarly, ordinal regression analysis revealed that pain increased with participant age and significantly correlated (p<0.001) with a negative impact of pain on patient's affect and activity as measured by the BPI interference scales. Eighty-two percent of those reporting pain indicated lower back as a site of pain. In logistic regression models, lower back (p=0.046), arm (p=0.047) and hip (p=0.009) pain significantly increased with age. The number of bodily pain sites (p=0.033) also increased with age which was determined using linear regression. Among patients reporting pain in the last seven days, 77% reported having pain for one year or longer and 26% reported pain for 5 or more years. Participants reporting pain in the last 7 days identified the following reasons for their pain: thalassemia (60%), low hemoglobin (55%), bone pain (37%) and muscle spasm (30%). Participants indicated multiple methods of managing pain including: blood transfusion (54%), rest (51%) massage (46%) and heat (39%). Medications were the most frequently cited pain intervention (72 % of participants) with the most common mediations taken being NSAIDs (71%), followed by acetaminophen (48%), short acting narcotics (24%) and long acting narcotics (11%). Twenty-five percent of participants reported they received no pain relief from medications or non-pharmaceutical treatments, and only 4% reported they received complete pain relief with treatment. Half the population reported they gained about 50% relief from pain with treatments. Conclusions: These data show that pain is a significant issue for patients with thalassemia and as patient's age pain increases. Pain assessment should be conducted on a regular basis for all patients with thalassemia since neither transfusion status nor diagnosis are a reliable indicator of pain status. The study also indicates that chronic pain (pain lasting greater than one year) is an issue for thalassemia patients and underscores the need for further study of pain in this population. Analysis of pain follow up data collected at 3 month intervals post baseline is being conducted to assess whether severity levels vary over time. Disclosures: Coates: Novartis: Research Funding, Speakers Bureau. Neufeld:Novartis, Inc: Research Funding; Ferrokin, Inc: Research Funding.


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