Zobrazeno 1 - 10
of 3 269
pro vyhledávání: '"Tarekegn A"'
Publikováno v:
PLoS ONE, Vol 19, Iss 4, p e0301534 (2024)
Common bean (Phaseolus vulgaris L.) is one of the most important grain legumes consumed globally, especially in Ethiopia, for its edible seeds, cash crops, and supply of protein for farmers. Efficient statistical methods must be employed for the eval
Externí odkaz:
https://doaj.org/article/4ba4f54a3652478ebd6cf5b42b868906
Publikováno v:
Journal of Experimental Pharmacology, Vol Volume 15, Pp 207-214 (2023)
Getachew Ashagrie,1,2 Fentaw Girmaw,1 Abebe Tarekegn,1 Tenaw Baye,1 Abebe Dagne3 1Department of Pharmacy, College of Health Science, Woldia University, Woldia, Ethiopia; 2Department of Pharmacology and Clinical Pharmacy, School of Pharmacy, College o
Externí odkaz:
https://doaj.org/article/fd1cc9ca74724d1da5d68873a2f84043
Autor:
Alyssa J. Young, Will Eaton, Matt Worges, Honelgn Hiruy, Kolawole Maxwell, Bala Mohammed Audu, Madeleine Marasciulo, Charles Nelson, James Tibenderana, Tarekegn A. Abeku
Publikováno v:
Malaria Journal, Vol 21, Iss 1, Pp 1-13 (2022)
Abstract Background The use of data in targeting malaria control efforts is essential for optimal use of resources. This work provides a practical mechanism for prioritizing geographic areas for insecticide-treated net (ITN) distribution campaigns in
Externí odkaz:
https://doaj.org/article/2b0f45392d7a41968dec63bfe56c98a9
Publikováno v:
PLoS ONE, Vol 18, Iss 2, p e0277499 (2023)
Spatial variation and genotype by environment (GxE) interaction are common in varietal selection field trials and pose a significant challenge for plant breeders when comparing the genetic potential of different varieties. Efficient statistical metho
Externí odkaz:
https://doaj.org/article/34e2e41c5c6741078e7d21c38103b715
Autor:
Fentie Wendie T, Tarekegn Angamo M
Publikováno v:
Drug, Healthcare and Patient Safety, Vol Volume 12, Pp 281-291 (2020)
Teklehaimanot Fentie Wendie,1 Mulugeta Tarekegn Angamo2 1Department of Pharmacy, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia; 2Department of Pharmacy, College of Public Health and Medical Sciences, Jimma University, Ji
Externí odkaz:
https://doaj.org/article/bbedf04ebd0b4d5293b31f58c8f313e4
Autor:
Tarekegn, Adane Nega
The news landscape is continuously evolving, with an ever-increasing volume of information from around the world. Automated event detection within this vast data repository is essential for monitoring, identifying, and categorizing significant news o
Externí odkaz:
http://arxiv.org/abs/2406.10552
Autor:
Tebikew Yeneabat, Haweni Adugna, Tarekegn Asmamaw, Muluken Wubetu, Melaku Admas, Getachew Hailu, Asres Bedaso, Tadele Amare
Publikováno v:
BMC Pregnancy and Childbirth, Vol 19, Iss 1, Pp 1-9 (2019)
Abstract Background Monotonous and less diversified diets are associated with micronutrient deficiency. Evidence on maternal dietary intakes during pregnancy is essential to achieve the 2025 global nutrition target and reduce maternal and child morta
Externí odkaz:
https://doaj.org/article/131bb9cbdb014db9a1e470e139c0a719
Autor:
Bekele Belayihun Tefera, Mengistu Asnake Kibret, Yordanos B Molla, Girma Kassie, Aynalem Hailemichael, Tarekegn Abate, Hailu Zelelew, Binyam Fekadu Desta, Elizabeth Futrell, Zewditu Kebede, Gebeyehu Abelti, Subrata Routh, Bamikale Feyisetan, Abdulmumin Saad
Publikováno v:
PLoS ONE, Vol 16, Iss 8, p e0256132 (2021)
Community-based health insurance (CBHI) as a demand-side intervention is presumed to drive improvements in health services quality, and the quality of health services is an important supple-side factor in motivating CBHI enrollment and retention. The
Externí odkaz:
https://doaj.org/article/6ffdfafbcbac487aa9307b066e29f021
Publikováno v:
Parasites & Vectors, Vol 11, Iss 1, Pp 1-10 (2018)
Abstract Background Environmental factors, especially ambient temperature and relative humidity affect both mosquitoes and malaria parasites. The early part of sporogony is most sensitive and is affected by high temperatures and temperature fluctuati
Externí odkaz:
https://doaj.org/article/38497d9e42254d4a96eeeff1acdc8cf3
Multi-label learning is a rapidly growing research area that aims to predict multiple labels from a single input data point. In the era of big data, tasks involving multi-label classification (MLC) or ranking present significant and intricate challen
Externí odkaz:
http://arxiv.org/abs/2401.16549