ABSTRACT
The research conducted in this article was used to prove that there is an increase in employee engagement of productivity increasing activities when a scoring system is utilized by employees. Previous research conducted proved that it is possible to evolve a scoring system that takes into account not just activities tied to productivity, but also factors relevant (and tailored) to individuals based on bias, relevance, location, etc. In this research article, we show that when a set of subjects were asked to utilize a scoring system to grade activities conducted (with a control group of subjects who did not utilize a scoring system), the group using the scoring system were more likely to engage in activities that enhanced productivity compared to the control group.

ABSTRACT
Public participation is important because it helps to close the gap between the public, private sector and the government. However, a successful devolution process in Kenya is hampered by a lack of/inadequate public participation in county governments. Communications gaps are one of the arguments made for this development. The main objective of the study was to develop a sentiment analysis model for use in public participation forums in County Governments in Kenya. The study was conducted through the design thinking process. The population of interest of this study comprised of county management and staff also area residents in Nakuru, Busia and Baringo counties who have participated in public participation forums before. The Bidirectional Encoder Representations from Transformers (BERT) approach was used to create the cloud NLP package and obtain user sentiment magnitudes for the sentiment analysis model. Following that, cross validation was utilized to assess the performance indicators during the design stage, and users took part in the model's assessment. The overall conclusion of validation is that the model performed as expected and recorded instrumental results in increasing effective public participation in county governments in Kenya and strengthen the devolution process. This study recommends that the model can be cascaded to all the counties in Kenya to improve the efficiency of public participation.

ABSTRACT
Seepage is among the major causes of damage to dams and other hydraulic structures. Studying the hydraulic gradient and drift beneath hydraulic structures give a general idea about their safety. The objective of the paper is to develop a mathematical model of the effect of cut-off in controlling seepage beneath dams and other hydraulic structures. Analytical method was applied in the solution of the derived differential equation. The model exhibited a fairly constant reduction in the drift from upstream to downstream. A comparison of model shows that it compared favourably with the existing model with the advantage of being more simplified and easy to apply.