scholarly journals Implicaciones de la disminución de la capacidad productiva de granos básicos sobre la alimentación en comunidades rurales pobres de México

2016 ◽  
Vol 16 (2) ◽  
pp. 33 ◽  
Author(s):  
María Angélica Quintero Peralta ◽  
Rosa María Gallardo Cobos ◽  
Felisa Ceña Delgado
Keyword(s):  
Food Production ◽  
Logistic Regression Model ◽  
Structural Changes ◽  
Multinomial Logistic Regression ◽  
Rural Poverty ◽  
Production Capacity ◽  
Multinomial Logistic Regression Model ◽  
Self Sufficiency ◽  
Small Producers ◽  
Production Conditions

The structural changes ensuing from the policies implemented in the primary sector in Mexico have led to the deterioration of food production capacity in small producers, increasing rural poverty. We performed 132 interviews with small producers in Hidalgo, Mexico and Morelos to assess production conditions and income, and used a multinomial logistic regression model to assess food self-sufficiency. The results indicate that if the level of food production is not substantially changed, then the probability of improving food self-sufficiency is low; giving rise to the subsequent deepening of poverty.

IMPLEMENTASI MODEL REGRESI LOGISTIK MULTINOMIAL PADA PENGELOMPOKAN PENYAKIT TUBERKULOSIS

2021 ◽  
Vol 13 (1) ◽  
pp. 27
Author(s):  
Mella Apriyani ◽  
Jajang Jajang ◽  
Agustini Tripena Br. Sb.
Keyword(s):  
Logistic Regression Model ◽  
Basic Education ◽  
Multinomial Logistic Regression ◽  
Education Level ◽  
Dominant Factor ◽  
Multinomial Logistic Regression Model ◽  
Factor Level ◽  
Level Of Education ◽  
Pulmonary Tb ◽  
Extra Pulmonary

There are three types of  Tuberculosis (TB) patients at Banyumas Region Hospital, namely negative  pulmonary TB, positive pulmonary TB, and extra pulmonary TB. Types of TB generally caused by age, cae of history, gender, level of education, and domicile. One of the methods that used to find a correlation between types of TB with the affect is regression analysis. This study used multinomial logistic regession analysis because types of TB is categorical and the data is 156 TB’s patients recorded at 2018/2019. The result showed that the level of education be a dominant factor to affect TB. Here, we noted that patients with basic education level have a 5,843 time odds for getting positive pulmonary TB and 2,224 times for getting extra pulmonary TB. The multinomial logistic regression model is then given as probability for getting positive pulmonary TB with factor level of education is greather than negative pulmonary TB and extra pulmonary TB.

scholarly journals Technological Advancement and the Economic Benefit of Indonesian Rain-Fed Farming Development

2019 ◽  
Vol 2019 ◽  
pp. 1-8
Author(s):  
A. A. Sulaiman ◽  
A. Candradijaya ◽  
M. Syakir
Keyword(s):  
Food Production ◽  
Smallholder Farmers ◽  
Production Capacity ◽  
Future Research ◽  
Cropping Pattern ◽  
Technological Advancement ◽  
Sustainable Food ◽  
Drought Tolerant ◽  
Self Sufficiency ◽  
Cultivation Techniques

The contribution of rain-fed farming to national food production in Indonesia has yet to be optimal. The major constraint has been limited water supply, where it relies exclusively on the rainfall, and hence its planting index (PI) is still low, on average only 1.05. The establishment of water management system to support rain-fed fields with the introduction of suitable cultivation techniques (gogo rancah, walik jerami, super jarwo, and ratoon paddy) is known to be effective in rain-fed farming. Further, the use of drought-tolerant paddy variety and changing cropping pattern to focus on paddy, maize, and soybean would potentially improve the food production capacity in Indonesia. This study has shown these interventions, when applied to the existing 4 million ha rain-fed fields, are estimated to increase annual rice production by 16.7 million tons. The production of maize and soybean is also expected to increase by 3.7 million tons and 0.98 million tons per year, respectively. It is beyond the scope of this study, however, to consider the actual benefit felt by rain-fed smallholder farmers. Future research with farmers as its focus and the capacity of Indonesian institutions toward rain-fed farming thus will contribute further to the rain-fed farming development in Indonesia. This article shares a strategy in maximising the contribution of the currently available 4 million hectares of rain-fed land to the national food production, and hence sustainable food self-sufficiency in Indonesia.

Impact of decreasing staple food production capacity on food self-sufficiency in poor rural communities in Mexico

2016 ◽  
Vol 16 (2) ◽  
pp. 33-67 ◽  
Author(s):  
Maria Angelica Quintero-Peralta ◽  
Rosa Maria Gallardo-Cobos ◽  
Felisa Ceña-Delgado
Keyword(s):  
Rural Communities ◽  
Food Production ◽  
Production Capacity ◽  
Staple Food ◽  
Self Sufficiency

scholarly journals Burden and predictors ofStaphylococcus aureusandS. pseudintermediusinfections among dogs presented at an academic veterinary hospital in South Africa (2007–2012)

PeerJ ◽  
2017 ◽  
Vol 5 ◽  
pp. e3198 ◽  
Author(s):  
Daniel N. Qekwana ◽  
James Wabwire Oguttu ◽  
Fortune Sithole ◽  
Agricola Odoi
Keyword(s):  
South Africa ◽  
Logistic Regression ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Multinomial Logistic Regression ◽  
Risk Of Infection ◽  
Multinomial Logistic Regression Model ◽  
Tract Infections ◽  
Veterinary Hospital ◽  
Isolated Species

BackgroundStaphylococci are commensals of the mucosal surface and skin of humans and animals, but have been implicated in infections such as otitis externa, pyoderma, urinary tract infections and post-surgical complications. Laboratory records provide useful information to help investigate these infections. Therefore, the objective of this study was to investigate the burdens of these infections and use multinomial regression to examine the associations between variousStaphylococcusinfections and demographic and temporal factors among dogs admitted to an academic veterinary hospital in South Africa.MethodsRecords of 1,497 clinical canine samples submitted to the bacteriology laboratory at a veterinary academic hospital between 2007 and 2012 were included in this study. Proportions of staphylococcal positive samples were calculated, and a multinomial logistic regression model was used to identify predictors of staphylococcal infections.ResultsTwenty-seven percent of the samples tested positive forStaphylococcusspp. The species ofStaphylococcusidentified wereS. pseudintermedius(19.0%),S. aureus(3.8%),S. epidermidis(0.7%) andS. felis(0.1%). The remaining 2.87% consisted of unspeciatedStaphylococcus. Distribution of the species by age of dog showed thatS. pseudintermediuswas the most common (25.6%) in dogs aged 2–4 years whileS. aureuswas most frequent (6.3%) in dogs aged 5–6 years.S. pseudintermedius(34.1%) andS. aureus(35.1%) were the most frequently isolated species from skin samples. The results of the multivariable multinomial logistic regression model identified specimen, year and age of the dog as significant predictors of the risk of infection withStaphylococcus. There was a significant temporal increase (RRR = 1.17; 95% CI [1.06–1.29]) in the likelihood of a dog testing positive forS. pseudintermediuscompared to testing negative. Dogs ≤ 8 years of age were significantly more likely to test positive forS. aureusthan those >8 years of age. Similarly, dogs between 2–8 years of age were significantly more likely to test positive forS. pseudintermediusthan those >8 years of age. In addition, dogs 2–4 years of age (RRR = 1.83; 1.09–3.06) were significantly more likely to test positive forS. pseudintermediuscompared to those <2 years of age. The risk of infection withS. pseudintermediusorS. aureuswas significantly higher in ear canal and skin specimens compared to other specimens.ConclusionsThe findings suggest thatS. pseudintermediusandS. aureuswere the most commonly isolated species from dogs presented at the study hospital. Age of the dog and the location of infection were significant predictors of infection with bothStaphylococcusspecies investigated. Significant increasing temporal trend was observed forS. pseudintermediusbut notS. aureus. This information is useful for guiding clinical decisions as well as future research.

Diachronic frame analysis

2019 ◽  
Vol 11 (1) ◽  
pp. 43-78
Author(s):  
James Law
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Multinomial Logistic Regression ◽  
Frame Analysis ◽  
Semantic Change ◽  
Frame Semantics ◽  
Multinomial Logistic Regression Model ◽  
Grammatical Category

Abstract Frame Semantics offers a valuable perspective on mechanisms of semantic change, particularly metonymy. However, corpus-based frame analysis has rarely been applied to diachronic data. The potential of this approach is illustrated with a diachronic description of the Purpose frame in French, based on 1,429 tokens of 17 frame-evoking words. Metonymic mappings in the frame allow Means and Medium to replace Agent. A multinomial logistic regression model shows that usage of these mappings has increased since 1600 and is conditioned by genre and the frequency and grammatical category of the frame-evoking word. The approach may inform how metonymy leads to lexicalized semantic change.

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