Infiltration models are based on quantitative relationships among variables that are developed analytically, or from a spectrum of infiltration data that could be fitted into the equation. An attempt was made to begin the development of a mathematical (infiltration)m model using the assumptions of Hillel and Gardner (1969; 1970), incorporating the assumptions of Green and Ampt (1911) and Philip (1957a;1957c). The model developed in this study used Pitcher (pot) and soil properties, as well as the time of infiltration as inputs. The model proved to be capable of predicting infiltration better than the pitcher infiltration equation advanced by Clifthill (1983), which did not consider the properties of the soil beneath the pitcher. The developed pitcher model gave a better prediction of infiltration, especially with pitchers fired at low temperatures (<650°C) and, which invariably had higher seepage rates than in pitchers fired at high temperatures (>850°C).

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Including learners with autism spectrum disorder (ASD) in mainstream classrooms is associated with challenges that could impede their academic participation. However, studies have shown the value of inclusive education, especially when supported with computer technologies, learners with ASD can effectively learn alongside their non-autistic peers. Despite that, there has been minimal research on ASD inclusion with emerging computer technologies. This paper presents a systematic review of the literature on the application of emerging computer technologies in supporting the inclusion of learners with ASD. By analyzing a wide range of scholarly articles, this research goes beyond the existing literature by thoroughly examining the unique contributions and advancements made in this field. The study findings revealed valuable strategies and technologies for ASD-inclusive education that could be utilized by educationists, researchers, and relevant stakeholders. Moreover, this research bridges the knowledge gap and provides a foundation for future investigations into effective and sustainable technological interventions for ASD-inclusive education.

Field trials were conducted in 2017 and 2018 wet seasons at Federal University Dutse Teaching and Research Farm (Latitude 11 46, 39”N and Longitude 9 20, 30”E) in the Sudan Savanna of Nigeria. To evaluate performance of sesame varieties as affected by poultry manure and weed control methods. The treatments consisted of five weed control treatments (pre-emergence application of ButachlorEC50%,  hoe weeding at 3WAS +pre-emergence butachlor EC50%, pre-emergence butachlor EC50%+hoe weeding at 3 and 6WAS, hoe weeding @ 3 and 6WAS and weedy check), three level of poultry manure (5, 10, and 15t/ha) and three sesame varieties (Ben 01, Yandev 55 and Ben 04E. The treatments were laid out in split plot design and replicated three times. The results indicated that weed control methods had significant effect (0.05) on the sesame growth and seed yield comparable to hoe weeding control at 3 and 6WAS where plant height number of leaves,  capsule number per plant and seed yield of sesame were significant higher with the application of butachlor plus hoe weeding at 3 and 6WAS compared to others weed control methods.  Poultry manure application on sesame as 15t/ha gave taller plant height, more number of leaves, higher sesame dry weight, longer capsule length and seed yield of sesame than the other rates while Ben 01(455 and 1043 ) perform better than the others two varieties (Yandev 498, 756 and Ben4E 522 and 765 ) for 2017 and 2018 seasons.  In conclusion,