102,179 research outputs found
Women’s roles in decision-making and nutrition-sensitive agriculture
No full textThe small-farm sector is home to many of the world's food-insecure and undernourished people. Strategies to make smallholder farming more nutrition-sensitive often focus on agricultural diversification. In addition, women's empowerment is widely considered useful to improve diets and nutrition. Many studies have analyzed the effects of farm production diversification and of women's empowerment on dietary outcomes, but mostly in separate strands of literature. Here, we connect these strands to contribute to a better understanding of the multifaceted links between farm production diversity, women's roles in decision-making, and household diets. Using primary data from Malawi, we show that women's decision-making is positively associated with farm production diversity and with household dietary diversity. Furthermore, women's decision-making increases the positive association between farm production diversity and dietary diversity. We also differentiate between different domains of decision-making, including agricultural production, market sales, cash income control, and food purchases. The results suggest that strengthening women's agency can make smallholder farming more nutrition-sensitive through multiple channels
Women’s roles in decision-making and nutrition-sensitive agriculture
No full textThe small farm sector is home to many of the world’s food insecure and undernourished people. Strategies to make smallholder farming more nutrition-sensitive often focus on agricultural diversification. In addition, women’s empowerment is widely considered useful to improve diets and nutrition. Many studies have analyzed the effects of farm production diversification and of women’s empowerment on dietary outcomes, but mostly in separate strands of literature. Here, we connect these strands of literature to contribute to a better understanding of the multifaceted links between farm production diversity, women’s roles in decision-making, and household diets. Using primary data from Malawi, we show that women’s decision-making is positively associated with farm production diversity and with household dietary diversity. Furthermore, women’s decision-making increases the positive association between farm production diversity and dietary diversity. We also differentiate between different domains of decision-making, including agricultural production, market sales, cash income control, and food purchases. The results suggest that strengthening women’s agency can make smallholder farming more nutrition-sensitive through multiple channels.Keywords: Farm production diversity, Dietary diversity, Female decision-making, Africa, Malaw
BayesGmed: Bayesian Causal Mediation Analysis using 'Stan'
No full textPerforms parametric mediation analysis using the Bayesian g-formula approach for binary and continuous outcomes. The methodology is based on Comment (2018) <doi:10.5281/zenodo.1285275> and a demonstration of its application can be found at Yimer et al. (2022) <doi:10.48550/arXiv.2210.08499>
BayesGmed: Bayesian Causal Mediation Analysis using 'Stan'
No full textPerforms parametric mediation analysis using the Bayesian g-formula approach for binary and continuous outcomes. The methodology is based on Comment (2018) <doi:10.5281/zenodo.1285275> and a demonstration of its application can be found at Yimer et al. (2022) <doi:10.48550/arXiv.2210.08499>
Bibliographie Hilarion G. Petzold 1958 – 2009 mit Anhang als Einführung
No full textDieses Archiv enthält die Gesamtbibliographie der Werke des Autors nebst einiger Texte „Über H. G. Petzold“ im Schlussteil der Bibliographie sowie einen Anhang mit einer Einführung in die Architektur des Werkes in seinem wissenslogischen Aufbau als Ausarbeitung seines „Tree of Science Modells“ (2007).This archive contains the complete bibliography of the author and some texts about H. G. Petzold, moreover an epilogue with an introduction to the architecture of the works in its epistemological structure and composition and as an elaborations of Petzold’s „Tree of Science Modell (2007).https://www.fpi-publikation.de/polyloge/01-2009-petzold-h-g-gesamtbibliographie-h-g-petzold-1958-2009-updating-november2009/peerReviewedpublishedVersio
Dispelling the Myths Behind First-author Citation Counts
No full textWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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3346: Samuel G. Freedman, author, 2013
No full textPhotograph of author Samuel G. Freedman, at NT Daily Slash meeting in the Mayborn School of Journalism at UNT
Risk factors for mortality among neonates admitted to a special care unit in a low-resource setting
No full textHow the weather affects the pain of citizen scientists using a smartphone app
No full textPatients with chronic pain commonly believe their pain is related to the weather. Scientific evidence to support their beliefs is inconclusive, in part due to difficulties in getting a large dataset of patients frequently recording their pain symptoms during a variety of weather conditions. Smartphones allow the opportunity to collect data to overcome these difficulties. Our study Cloudy with a Chance of Pain analysed daily data from 2658 patients collected over a 15-month period. The analysis demonstrated significant yet modest relationships between pain and relative humidity, pressure and wind speed, with correlations remaining even when accounting for mood and physical activity. This research highlights how citizen-science experiments can collect large datasets on real-world populations to address long-standing health questions. These results will act as a starting point for a future system for patients to better manage their health through pain forecasts
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