• Review of Carbonation Resistance in Hydrated Cement Based Materials 

  Marangu, Joseph Mwiti; Thiong’o, Joseph Karanja; Wachira, Jackson Muthengia (Hindawi Publisher, 2019)

  Blended cements are preferred to Ordinary Portland Cement (OPC) in construction industry due to costs and technological and environmental benefits associated with them. Prevalence of significant quantities of carbon dioxide ...
• Prevalence and Detection of Drug Resistant Mutations in Mycobacterium Tuberculosis among Drug Naïve Patients in Nairobi, Kenya 

  Ogari, Collins Otieno; Nyamache, Anthony Kebira; Nonoh, James; Amukoye, Evans (BioMed Central, 2019)

  Background: Tuberculosis (TB), an ancient scourge of humanity known for several thousands of years, is still a significant public health challenge in many countries today even though some progress has been made in ...
• Nitrogen Release and Synchrony in Organic and Conventional Farming Systems of the Central Highlands of Kenya 

  Musyoka, Martha W.; Adamtey, Noah; Bu¨nemann, Else K.; Muriuki, Anne W.; Karanja, Edward N.; Mucheru-Muna, Monica; Fiaboe, Komi K. M.; Cadisch, Georg (Springer Nature, 2019)

  To match Nitrogen (N) supply to crop N demand, it is essential to understand N release and uptake patterns in different farming systems and crops. To assesses the dynamics of N released in organic and conventional ...
• Collateral Requirement as A Determinant of Portfolio Quality of Microfinance Institutions: Why Does It Matter? Insights from Microfinance Banks in Kenya 

  Muindi, Cellinah Wanza; Mutwiri, Nathan Mwenda (International Academic Journals, 2021)

  The unending demand for finances by low income earners and small businesses in the modern business environment coupled with stringent measures by commercial banks, has led to the emergence of microcredit offered by ...
• Adjusted Extreme Conditional Quantile Autoregression with Application to Risk Measurement 

  Kithinji, Martin M.; Mwita, Peter N.; Kube, Ananda O. (Hindawi Publisher, 2021)

  In this paper, we propose an extreme conditional quantile estimator. Derivation of the estimator is based on extreme quantile autoregression. A noncrossing restriction is added during estimation to avert possible quantile ...

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