Resultados de búsqueda - "statistics"

Spatio-temporal variability of streamflow in major and medium rivers of Nepal por Aryal, Anil, Shrestha, M., Aryal, S., Upadhyay, S., Maharjan, M.

“…The pre and post impact periods were determined using the Pettitt statistical test carried out at the most downstream of the hydrological gauge station of each river basin. …”
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Does conservation agriculture work as advertised? Implications on labor and farm returns in sentinel sites in Malawi and Zambia por Chikwalila, Eric Muhulu, Ngoma, Hambulo, Pangapanga-Phiri, Innocent, Tufa, Adane H., Alene, Arega D., Chikoye, D., Chipindu, Lovermore, Simutowe, Esau, Marenya, Paswel P., Thierfelder, Christian

“…The study found yield under CA statistically higher than under conventional, suggesting that CA improves yield. …”
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Feasibility of using an artificial intelligence-based telephone application for dietary assessment and nudging to improve the quality of food choices of female adolescents in Vietn... por Braga, Bianca C., Nguyen, Phuong Hong, Tran, Lan Mai, Hoang, Nga Thu, Bannerman, Boateng, Doyle, Frank, Folson, Gloria, Gangupantulu, Rohit, Karachiwalla, Naureen, Kolt, Bastien, McCloskey, Peter, Palloni, Giordano, Tran, Trang Huyen Thi, Trơưng, Duong Thuy Thi, Hughes, David, Gelli, Aulo

“…MDDW in the intervention group was 1.07 points (95% CI: 0.98, 1.18; P = 0.13) greater than that in the control (constant = 4.68); however, the difference was not statistically significant. Moreover, ELDS in the intervention was 1.09 (95% CI: 1.01, 1.18; P = 0.03) points greater than in the control (constant = 3.67). …”
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Nutrition transition in Vietnam: Changing food supply, food prices, household expenditure, diet and nutrition outcomes por Harris, Jody, Nguyen, Phuong Hong, Tran, Lan Mai, Huynh, Phuong

“…While this study brings together important data on the food system drivers of a nutrition transition in Vietnam, it cannot link each of these issues into a standard statistical model of change due to data gaps at different levels, calling for data collection improvement in future diet and food systems research. …”
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Food transfers, electronic food vouchers and child nutritional status among Rohingya children living in Bangladesh por Hoddinott, John F., Dorosh, Paul A., Filipski, Mateusz J., Rosenbach, Gracie, Tiburcio, Ernesto

“…The magnitude of the association is 0.38 SD (CI: 0.01, 0.74), and statistically significant at the five percent level. …”
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Changes in women’s empowerment in the household, women’s diet diversity, and their relationship against the background of COVID-19 in Southern Bangladesh por Lecoutere, Els, Van den Berg, Marrit, de Brauw, Alan

“…Changes in women’s decision-making power over food purchases are not statistically related to change in women’s outside employment. …”
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Country water quality profiles: towards developing an African Water Quality Program (AWaQ) por Mukuyu, Patience, Jayathilake, Nilanthi, Tijani, M., Nikiema, Josiane, Dickens, Chris, Mateo-Sagasta, Javier, Chapman, D. V., Warner, S.

“…Each country profile contains a statistical summary of the water quality situation, a summary of the water pollution sources and impacts, the policies and institutions governing water quality, and some of the most important water monitoring and pollution control initiatives. …”
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2014 Global Hunger Index Data por International Food Policy Research Institute, Welthungerhilfe, Concern Worldwide

“…Child underweight: The "child underweight" component indicator of the GHI scores includes the latest additions to the World Health Organization's (WHO) Global Database on Child Growth and Malnutrition, and additional data from the joint data base by the United Nations Children's Fund (UNICEF), WHO and the World Bank; the most recent Demographic and Health Survey (DHS) and Multiple Indicator Cluster Survey reports; and statistical tables from UNICEF. For the 2014 GHI, data on child underweight are for the latest year for which data are available in the period 2009-2014. 3. …”
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Adjusting ferritin concentrations for inflammation: Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia (BRINDA) project por Namaste, Sorrel M. L., Rohner, Fabian, Huang, Jin, Bhushan, Nivedita L., Flores-Ayala, Rafael, Kupka, Roland, Mei, Zuguo, Rawat, Rahul, Williams, Anne M., Raiten, Daniel J., Northrop-Clewes, Christine A., Suchdev, Parminder S.

“…However, both ferritin and sTfR are affected by inflammation and malaria, which may require a statistical adjustment. TBI has been used to assess iron status in the United States, but its use worldwide and in settings with inflammation has been limited. …”
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Access, adoption, and diffusion: Understanding the long-term impacts of improved vegetable and fish technologies in Bangladesh por Kumar, Neha, Quisumbing, Agnes R.

“…Using nearest-neighbor matching to construct a statistical comparison group, we find that long-term impacts differ across agricultural technology interventions and across outcomes. …”
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The impact of the herd health interventions in small ruminants in low input production systems in Ethiopia por Moliso, Mesfin M., Molla, W., Arke, A., Nana, T., Zewudie, F.A., Tibebu, A., Haile, A., Rekik, M., Magnusson, U., Wieland, Barbara, Knight-Jones, Theodore J.D.

“…Overall, the morbidity rate in young animals (7.36%) was higher than in adults (3.49%) and the mortality rate difference between young and adult animals was also statistically significant (p < 0.001). The morbidity and mortality rates varied significantly (p < 0.001) among districts and among agro-ecologies. …”
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Effect of graded levels of Vernonia amygdalina on feed intake, growth performances, in vitro digestibility, and economic efficiency of Doyogena Sheep por Haile, Belachew

“…The design of study was Randomized Complete-Block Design used a Statistical Analysis System of variance (ANOVA). Thirty-two male yearlings Doyogena sheep with a mean initial live weight of 30.08±3.94kg were grouped into four blocks each of the eight animals was based on initial body weight and randomly assigned to one of the four treatments (pasture grazing 10 hours/day ad libitum supplemented with 180g WB only (T1); pasture grazing10 hours/day ad libitum supplemented with 180gWB and 100g VADL (T2), pasture grazing10 hours/day ad libitum supplemented with 180g WB and 200g VADL (T3), pasture grazing 10 hours/day ad libitum supplemented with 180g WB and 300g VADL (T4)). …”
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Evaluation of Replacing Wheat Bran with Ensete Ventricosum Corm on Feed Intake, Weight Gain, in vitro Digestibility and Economic Efficiency of Doyogena Sheep por Abebe, Mulatu

“…All collected data throughout the experimental period were analyzed using one-way analysis of variance (ANOVA) in the statistical analysis software SAS (9.2 version). All animals were fed on natural pastures and nuge seed cakes. …”
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Genotype x environment interaction and yield stability of soybean (Glycine max l.) genotypes in multi-environment trials (METs) in Nigeria por Abebe, A.T., Adewumi, A.S., Adebayo, M.A., Shaahu, A., Mushoriwa, H., Alabi, T., Derera, J., Agbona, A., Chigeza, G.

“…GGE biplot and AMMI analyses have been identified as the most effective and appropriate statistical techniques for identifying stable and high-performing genotypes across diverse environments. …”
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Prevalence of Listeria monocytogenes and Listeria species and associated risk factors for contamination of milk and cottage cheese along the value chains in Ethiopia por Hassen, A., Keba, Abdi, Ebrai, M.S., Mamo, H., Geleta, T.K., Tessema, T.S., Vipham, J., Kovac, J., Zewdu, A.

“…Raw milk showed the highest prevalence of <i>Listeria</i> spp. at 15.2 %, followed by pasteurized milk at 12.2 %, and cottage cheese at 5.7 %, with these differences being statistically significant (P = 0.006). The prevalence of <i>Listeria</i> spp. differed significantly (P = 0.001) among the value chain stages (producers, collectors, processors, and retailers) and was 12.5 %, 17.9 %, 17.4 %, and 7.1 %, respectively. …”
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A review of multimodal deep learning methods for genomic-enabled prediction in plant breeding por Montesinos-Lopez, Osval A., Chavira-Flores, Moises, Kismiantini, Crespo-Herrera, Leonardo A., Saint Pierre, Carolina, Huihui Li, Fritsche-Neto, Roberto, Khalid Al-Nowibet, Montesinos-Lopez, Abelardo, Crossa, José

“…Deep learning methods have been applied when working to enhance the prediction accuracy of traditional statistical methods in the field of plant breeding. …”
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Deciphering environmental factors and defense response of rice genotypes against sheath blight disease por Naveenkumar, R., Anandan, A., Singh, Vineeta, Prabhukarthikeyan, S.R., Parameswaran, C., Sangeetha, G., Mahender, A., Keerthana, U., Singh, P.K., Patra, B.C., Ali, Jauhar

“…The biochemical study revealed that the accumulation of defense and antioxidant enzymes, namely, polyphenol oxidase, peroxidase, total phenol, phenylalanine ammonia-lyase, catalase, and superoxide dismutase, were higher in moderately resistant genotypes, but was observed to be lower in moderately susceptible and susceptible genotypes. The statistical analysis revealed the enzyme activities (defense and antioxidant) exhibited a strong negative correlation with area under the disease progress curve (AUDPC) and influence of weather parameter RH. …”
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Mapping populations at risk: improving spatial demographic data for infectious disease modeling and metric derivation por Tatem, Andrew J., Adamo, Susana, Bharti, Nita, Burgert, Clara R., Castro, Marcia, Dorelien, Audrey, Fink, Gunter, Linard, Catherine, John, Mendelsohn, Montana, Livia, Montgomery, Mark R., Nelson, Andrew, Noor, Abdisalan M., Pindolia, Deepa, Yetman, Greg, Balk, Deborah

“…Together, these freely available datasets form a rich resource for quantifying and understanding the spatial variations in the sizes and distributions of those most at risk of disease in low income regions, yet at present, they remain unconnected data scattered across national statistical offices and websites. In this paper we discuss the deficiencies of existing spatial population datasets and their limitations on epidemiological analyses. …”
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Sending Vietnamese rice farmers back to school: further evidence on the impacts of farmer field schools por Rejesus, Roderick M., Mutuc, Maria Erlinda M., Yasar, Mahmut, Lapitan, Aileen V., Palis, Florencia G., Chi, Truong Thi Ngoc

“…Regression analysis using a difference‐in‐difference approach indicates FFS training did not result in statistically significant impacts on insecticide use and yield over the period of time examined. …”
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Randomized controlled trial (rct) study on gender inclusive approach to improve the adoption of the Site Specific Fertilizer Recommendation (SSFR) using digital service in ethiopia por Arouna, A., Yergo, W.G., Aboudou, R., Gbede, T.R.

“…All analyses in this paper were carried out using the STATA 16 statistical software. The average age of rice farmers is 42 years old for both sexes, but women are 2 years old than men in terms of experience in wheat production. …”
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