Maseno Institutional Repository (IR) is a digital service that collects, preserves, and distributes digital material. Repositories are important tools for preserving an organization's legacy; they facilitate digital preservation and scholarly communication.
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The Potential of Differentiation Related Gene 1 DRG1) as a Biomarker for Metastasis of Estrogen Receptor Positive Breast Cancer
(Journal of Advances in Medicine and Medical Research, 2021-10-07)Breast cancer is major burden worldwide and the majority of breast cancers express estrogen receptors (ER) suggesting a high dependence on estrogen hormone. Age is among the major determinants of breast cancer development, ... -
Strengthening Online Education Approaches in Institutions of Higher Learning
(Emerald Publishing Limited, 2023-05-15)Online, distance, and eLearning (ODeL) continue to gain recognition as a mandatory component of delivery of education in institutions of higher learning (IHL) around the world following the outbreak of coronavirus disease ... -
PolitiKweli: A Swahili-English Code-switched Twitter Political Misinformation Classification Dataset
(Deep Learning Indaba 2023, 2023-08-30)In the age of freedom of speech, users of the social media platform Twitter post millions of messages per day. These messages are not always fact-checked resulting in misinformation which is false or misleading news. ... -
Impact of Cash Transfers on Poverty Reduction towards Achieving Sustainable Development Goals among Female-Headed Households in Siaya County, Kenya.
(International Journal of Research and Innovation in Social Science (IJRISS), 2023)Poverty rate is still high among developing economies; 8 years post adoption of the Sustainable Development Goals (SDGs) agenda of 2030. Cash transfers have popularly become one of the ways to support implementation of ... -
Phonemic Representation and Transcription for Speech to Text Applications for Under-resourced Indigenous African Languages: The Case of Kiswahili
(Cornell University, 2022-10-29)Building automatic speech recognition (ASR) systems is a challenging task, especially for underresourced languages that need to construct corpora nearly from scratch and lack sufficient training data. It has emerged that ...