The research work investigated the effect of leachate sludge waste materials from fish rearing pond on the geotechnical properties of soils from dumpsites. Results of investigations conducted on the control sites at 30m away from each dumpsite of bulk unit weight have incremental percentage values over control sites. Percentage (%) passing BS sieve #200 is higher in dumpsites over control with percentile value increase. Obtained results showed the presence of leachate material affects the physical properties of soil as percentages passing sieve #200 are higher in dumpsite materials. The consistency limits of the control sites of Liquid over plastic limits are summarized into the plastic index (LL-PL=PI), the obtained results indicated reductions values over dumpsites, this indicated that dumpsites leachate materials affected consistency limits of soils with higher values recorded in dumpsites. The entire results of grain size distribution showed that leachate percolation from waste materials affected the distribution properties of soil with dumpsites samples in dominants over control sites. Results indicated reductions in Unconfined compressive strength of control sites, these results showed that the presence of leachate materials has a great effect on soil properties of tested. The California bearing ration results of unsoaked and soaked of dumpsites have higher values over control sites. Results of California bearing ratio obtained showed that the presence of contaminants from waste dumpsites affected the geotechnical properties of tested soil with higher percentage values of dumpsites over control sites. The entire results showed that the presence of fish pond waste sludge has great negative effects on the geotechnical properties of soil.

The purpose of this study was to analyze the role of the incubation temperature of papuyu fish eggs (Anabas testudinius Bloch 1792) to obtain the ratio of female fish seeds. This research was conducted for 3 months starting from March 2019 until May 2019, at the Wet Laboratory of Lambung Mangkurat University, South Kalimantan Province. Fertilized Climbing Perch eggs are incubated at 20oC, 22oC, 24oC, and 26oC at 12 incubators (small box) with a stocking density of 25 eggs during incubation are observed and calculated the hatchability of eggs after the larvae hatch then cooling down the incubator is stopped. This study uses a completely randomized design (CRD) with 4 treatments and 3 replications, so that it will produce 12 experimental units. The results of analysis of variance (ANOVA) hatchability ranging from 90.67 to 100% had no significant effect. This study shows that the incubation temperature of papuyu fish eggs gives an effect on the female genital ratio of papuyu with the highest sex ratio in treatment C (24oC) of 100% and the lowest in treatment D (26oC) of 65.61% .The DMRT test results show that the sex ratio treatment C with D was significantly different also treatment A with D was different while other treatments were not significantly different.

The volume and quality of online data has increased tremendously. Retrieval of such data relies so much on efficient methods. In recent times, information retrieval looks to the intelligence-based and inductive learning methods, such as genetic algorithm, neural networks and machine learning. Researchers however, have leverage on these newer techniques in order to enhance the retrieval capabilities and information processing of current information storage and retrieval systems. These methods provide various degrees of accuracy. But how effective are these methods and which of them is better suited for the information retrieval task? This paper investigates the efficiency of the selected algorithms: Artificial Neural Network, Support vector machine, and Genetic Algorithm, on designing the model for efficient and intelligent information retrieval. The selected algorithms were critically studied in line with the available matching models for information retrieval. Models like the Vector space model, Binary model, probabilistic models, Inverted Index, Latent semantic Analysis and the Latent Semantic Index models were respectively examined. The result from the experimentation from the respective algorithms shows that the neural network, in combination with Genetic algorithm or alone, performs better. However, it takes more time to execute.

The study investigated the effect of poor academic background on students’ performance in physics in Birnin Kebbi Metropolis. The study adopted descriptive survey design to collect data on effect of poor background on students’ performance in physics in Birnin Kebbi Metropolis. From the population of 5,285 students’ and 34 teachers’, using stratified sampling; six (6) schools were selected in three strata that is mixed schools, Boys schools and Girls schools. Further, in each sampled school only 30 (ss2) students’ were involved in the study and 2 physics teachers’. Data were collected using questionnaire for the physics teachers and (ss2) students’ in the sampled schools. The findings were summarized and reported using percentage and frequency distribution tables. The study found and concluded that family background, teachers’ attitude towards work, methods of teaching and gender affect students’ performance in physics in senior secondary school in Birnin Kebbi Metropolis. Finally, the study recommended that policy makers/ministry of Education should ensure proffer curriculum implementation by physics teachers and increase enrolment in physics.

The Total Aeromagnetic Data covering the study area was subjected to Spectral Depth Analysis and Source Parameter Imaging (SPI).The entire area was divided into nine sections. Spectral Depth Analysis was run for each of these nine sections. The result from Spectral Depth Analysis shows that a maximum depth of 3.174km was obtained around Konkoso in Sheet number 117 of the study area. Minimum depth estimates of 0.586 km were observed around the basement regions. Result obtained from the Source Parameter Imaging (SPI) method has its highest sedimentary thickness of about 2.4 km to 3 km in areas around Kaoje towards the central part up to around Konkoso in the southern part. The shallow sedimentary thickness was found predominantly around Shanga in the northeastern (NE) part, up to around Yelwa in the southeastern (SE) part. Geophysical implication of the result to oil and gas exploration in the area is briefly discussed.