• Simulation of unsteady magnetohydrodynamic flow of hybrid nanofluid in solar thermal collectors 

  Ndede, Charles O.; Ojiambo, Viona; Abonyo, Jeconia O.; Ngesa, Joel O. (2026-03)

  The urgent challenge of climate change calls for innovative energy solutions that reduce greenhouse gas emissions and strengthen system resilience. Solar thermal technology, when enhanced by advanced fluid dynamics, offers ...
• Preliminary report of epicoccum spp. associated with brown leaf spot on cassava in Kenya 

  Onyango, Ephine A.; Kituyi, Sarah N.; Hunja, Carol W.; Kimatu, Josphert N.; Nyaboga, Evans N. (Elsevier, 2026)

  Cassava brown leaf spot (BLS) is among the most damaging diseases that significantly reduce cassava root yields and quality. In this study, drought-resistant cassava varieties were screened on an experimental farm in Kitui ...
• Isolation and functional profiling of seed‐associated bacteria from rattlepods (crotalaria spp.) with biotechnological potential 

  Odoi, Brenda A.; Nthiwa, Daniel M.; Neondo, Johnstone O .; Muli, Joshua K.; Kamau, Peter K.; Budambula, Nancy L. (Wiley, 2026)

  Microorganisms associated with plant seeds have recently gained increased attention due to their pivotal role in enhancing plant health through the acquisition of nutrients and plant growth promotion. Although rattlepods ...
• Trends in demographic and health survey publications based on a bibliometric analysis 

  Omondi, Evans; Kariuki, Symon M.; Ouedraogo, Soumaila; Odhiambo, Rachel; Osuka, Daniel; Wekesa, Eliud; Kitsao-Wekulo, Patricia; Kiragga, Agnes; Kyobutungi, Catherine (Taylor and Francis, 2026-06-01)

  Background: The Demographic and Health Surveys (DHS) Program, launched in 1984, provides high-quality population health data that underpins a vast body of global health research. However, the scale and growth patterns of ...
• Model checks for Bayesian estimation and forecasting of health coverage indicators in low- and middle-income countries 

  Alkema, Leontine; Mooney, Shauna; Kagoye, Sophia; Ferreira, Leonardo Z.; Mady, Roland; Wilson, Emily; Bietsch, Kristin; Adero, Godfrey; Kaberia, Peter M.; Kananura, Rornald M.; Mutua, Martin K.; Njeri, Anne; Wekesa, Eliud (The royal Society publishing, 2026-05-18)

  Statistical models are needed to produce estimates and forecasts of health coverage indicators in low- and middle-income countries, where data are often sparse and of uneven quality. We consider a class of Bayesian transition ...

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