Comparative study on composition of insect in close and open nursery of Federal College of Forestry Jos, Plateau State, Nigeria

Nursery being an area where young plants are raised before sowing or transplanting in gardens or field contains rich insect assemblages whose composition and abundance is under researched even in research institutes. Thus, the comparative study on the composition of insect in close and open nursery of Federal College of Forestry Jos, Plateau State, Nigeria was carried out in May 2015 in relation to the abundance and diversity of insect using pitfall trap and hand-picking sampling techniques. A total of 2,052 individuals distributed into 13 orders, 39 families, 50 genera and 55 species were collected. 1,557 (75.9%) individuals were collected from the open nursery (with: 13 orders, 39 families, 41 genera and 46 species) while, 495 (24.1%) individuals were found in the close nursery (with: 11 orders, 27 families, 38 genera and 47 species). Five individuals could not be identified beyond class and order levels. The distribution of insect taxa in descending order showed that Hymenoptera (62.8%), Coleoptera (11.1%) and Orthoptera (10.1%) are the most dominant, with Hymenoptera occurring the most in both sites. There was no significant difference (P > 0.05) in the pooled abundance of insect from both sampling techniques between the two nursery types. Although, insect abundance from pitfall trap collection between the two nursery types showed a significant difference (t= -2.494, df = 8, P = 0.03729) while, no significant difference (t= 1.0263, df = 8, P= 0.3348) for hand-picked insect between the two nursery types. To this end, this study shows that the nursery of Federal College of Forestry Jos is healthy due to the abundant and diverse insect species recorded in which the phytophagus individuals are the most dominant group, but are kept under check by the predaceous ones. The pitfall trap was a more efficient collection technique and should be used by insect collectors.Keywords: Close and open nursery, insect, pitfall trap, hand-pickin

Risk factors associated with paediatric tuberculosis in an endemic setting

Background: The success of any tuberculosis (TB) control/intervention programme hinges on the understanding of transmission dynamics of TB within that setting. However, there is paucity of data in high disease burdened countries like Nigeria on the associated risk factors of childhood TB and this supports the need for this research.Objective: This study was undertaken to determine the prevalent associated risk factors of childhood pulmonary TB in a high diseased burdened setting.Subjects and method: We carried out a cross sectional study among children aged 18 months to 15 years in six selected health facilities in Nasarawa State, Nigeria. The subjects were screened for pulmonary TB using chest X-ray, sputum or gastric aspirate acid-fast bacilli microscopy and mycobacterium culture. They were also screened for HIV infection. Detailed information was taken regarding history of contact with adult TB source case, house-hold contact, duration of contact, house-hold size, number of people sleeping in a room, cross ventilation, BCG immunization, socio-economic, educational and HIV status of parents, and ingestion of unpasteurized milk and chronic illness other than TB. The subjects had physical examination for BCG scar and nutritional status.Results: A total of 150 subjects were selected for the study with mean age of 9.12 ± 4.66 years and median age of 10.0 years. The prevalence of definite TB cases found among them was 32% which is 5.5 times higher than the reported national average. The risk factors associated with pulmonary TB include lower socioeconomic status (79.2%), history of contact with an adult TB case source (72.9%), overcrowding (72.9%), absence of cross ventilation (68.8%), ingestion of unpasteurized milk (45.8%) and severe malnutrition among children under five using MUAC parameter (12.5%). The most significant independent predictors of TB in children were absence of cross ventilation (OR = 3.27), contact with adult source case (OR = 2.91) and overcrowding (OR = 2.30).Conclusion: Absent of cross ventilation, contact with adult source case and overcrowding are the most significant predictors of pulmonary TB in children. Although ingestion of unpasteurized milk is a significant predictor and important source of TB, it is not a major source of TB transmission when compared to contact with adult source case (Open TB)

Modelling thermophysical effects of heat and mass transfer in unsteady magnetohydrodynamics viscoelastic fluid flow in inclined porous media

Paper presented at the 5th Strathmore International Mathematics Conference (SIMC 2019), 12 - 16 August 2019, Strathmore University, Nairobi, KenyaThis research presents the study of thermophysical effects of heat and mass transfer in unsteady Magnetohydrodynamics viscoelastic fluid flow in inclined porous media. The modelled results in form of nonlinear and coupled form of partial differential equations were transformed into Ordinary Differential Equations and were solved by using embedded fourthorder Runge-Kutta integration scheme with Newton-Raphson shooting method. Numerical computations were carried out for the non-dimensional to study the effect of different physical parameters. Physical parameters such as viscos-elasticity, permeability of the porous media, magnetic field, Grashof number, Schmidt number, heat source parameter and chemical reaction parameter on the flow, heat and mass transfer characteristics were discussed.Federal University Wukari, Wukari, Nigeria. University of florin, florin, Nigeria

Changes in preterm birth and stillbirth during COVID-19 lockdowns in 26 countries.

Preterm birth (PTB) is the leading cause of infant mortality worldwide. Changes in PTB rates, ranging from -90% to +30%, were reported in many countries following early COVID-19 pandemic response measures ('lockdowns'). It is unclear whether this variation reflects real differences in lockdown impacts, or perhaps differences in stillbirth rates and/or study designs. Here we present interrupted time series and meta-analyses using harmonized data from 52 million births in 26 countries, 18 of which had representative population-based data, with overall PTB rates ranging from 6% to 12% and stillbirth ranging from 2.5 to 10.5 per 1,000 births. We show small reductions in PTB in the first (odds ratio 0.96, 95% confidence interval 0.95-0.98, P value <0.0001), second (0.96, 0.92-0.99, 0.03) and third (0.97, 0.94-1.00, 0.09) months of lockdown, but not in the fourth month of lockdown (0.99, 0.96-1.01, 0.34), although there were some between-country differences after the first month. For high-income countries in this study, we did not observe an association between lockdown and stillbirths in the second (1.00, 0.88-1.14, 0.98), third (0.99, 0.88-1.12, 0.89) and fourth (1.01, 0.87-1.18, 0.86) months of lockdown, although we have imprecise estimates due to stillbirths being a relatively rare event. We did, however, find evidence of increased risk of stillbirth in the first month of lockdown in high-income countries (1.14, 1.02-1.29, 0.02) and, in Brazil, we found evidence for an association between lockdown and stillbirth in the second (1.09, 1.03-1.15, 0.002), third (1.10, 1.03-1.17, 0.003) and fourth (1.12, 1.05-1.19, <0.001) months of lockdown. With an estimated 14.8 million PTB annually worldwide, the modest reductions observed during early pandemic lockdowns translate into large numbers of PTB averted globally and warrant further research into causal pathways

Changes in preterm birth and stillbirth during COVID-19 lockdowns in 26 countries.

Preterm birth (PTB) is the leading cause of infant mortality worldwide. Changes in PTB rates, ranging from -90% to +30%, were reported in many countries following early COVID-19 pandemic response measures ('lockdowns'). It is unclear whether this variation reflects real differences in lockdown impacts, or perhaps differences in stillbirth rates and/or study designs. Here we present interrupted time series and meta-analyses using harmonized data from 52 million births in 26 countries, 18 of which had representative population-based data, with overall PTB rates ranging from 6% to 12% and stillbirth ranging from 2.5 to 10.5 per 1,000 births. We show small reductions in PTB in the first (odds ratio 0.96, 95% confidence interval 0.95-0.98, P value <0.0001), second (0.96, 0.92-0.99, 0.03) and third (0.97, 0.94-1.00, 0.09) months of lockdown, but not in the fourth month of lockdown (0.99, 0.96-1.01, 0.34), although there were some between-country differences after the first month. For high-income countries in this study, we did not observe an association between lockdown and stillbirths in the second (1.00, 0.88-1.14, 0.98), third (0.99, 0.88-1.12, 0.89) and fourth (1.01, 0.87-1.18, 0.86) months of lockdown, although we have imprecise estimates due to stillbirths being a relatively rare event. We did, however, find evidence of increased risk of stillbirth in the first month of lockdown in high-income countries (1.14, 1.02-1.29, 0.02) and, in Brazil, we found evidence for an association between lockdown and stillbirth in the second (1.09, 1.03-1.15, 0.002), third (1.10, 1.03-1.17, 0.003) and fourth (1.12, 1.05-1.19, <0.001) months of lockdown. With an estimated 14.8 million PTB annually worldwide, the modest reductions observed during early pandemic lockdowns translate into large numbers of PTB averted globally and warrant further research into causal pathways

Evaluation of Flood Management in Nigeria: A Case Study of Yauri Local Government Area, Kebbi State

An evaluation of management in Nigeria with focus on Yauri Local Government Area of Kebbi State was carried out. The study made use of ASTER data of 2017 with spatial resolution of 30m, topographical map at a scale of 1:50,000, monthly rainfall data for 35 covering the study area and soil map at a scale of 1:50,000. Thematic maps for soil, rainfall and elevation were produced converted to raster data in GIS environment. Each data set in a single map was given weight by pair-wise comparison; reclassification of each map was done based on the weights generated from the pair-wise comparison of each dataset. The weights generated revealed that rainfall with 46 as its weight has the greatest influence on flood occurrences in the study area. Elevation accounted for weights of 24, slope accounted for 12 while drainage density, soil and LULC accounted for 10, 8 and 3 respectively. The settlements of Gumbi, Yauri, Unguwa Damisa, Zamare and Jijima that make up the study area lie along the zone of very high flood vulnerable land. Among the causes of flooding, excess rainfall and coastal location of the various settlements are responsible for flooding. Besides, the relief of the study area is such that encourage flooding as all the settlements are situated along the river course. The predominant coping and adapting strategies adopted to check flooding in the study area are temporary relocation and the raising of the floor of their houses among others

Assessment of Agricultural Vulnerability to Flood in Ngaski, Kebbi State, Nigeria

The assessment of agricultural vulnerability to flood in Ngaski Local Government Area of Kebbi State, Nigeria was carried out. The study made use of ASTER data of 2017 with spatial resolution of 30m, topographical map at a scale of 1:50,000, monthly rainfall data for 35 covering the study area and soil map at a scale of 1:50,000. Thematic maps for soil, rainfall and elevation were produced converted to raster data in GIS environment. Each data set in a single map was given weight by pair-wise comparison; reclassification of each map was done based on the weights generated from the pair-wise comparison of each dataset. The results showed that the rainfall recorded in the study area ranges from 950mm to 1150mm and this is categorized between high and very high under the pair-wise comparison rating. The elevation is such that parts of the study area had high elevation that ranges between 226m and 255m and low elevation that ranged between 125m and 167m giving room to flooding. The soil types in the study area are such that encourage flooding coupled with high amount of rainfall on one hand and the high and low elevations experience across the study area. For the farmers to sustain agricultural activities as a result of flooding, they practiced mixed farming, shifting cultivation, terrace farming, fallow and arable farming. The above farming systems were practiced by the farmers to alternate, avoid or take advantage of the floods. In conclusion, the study recommends the use of more resistant seedlings and crops to flooding, channelization of the river should be carried out by the government to reduce the level of flooding across the study area among others

Estimation of weight in adults from height: a novel option for a quick bedside technique

Abstract Purpose In critical care situations, there are often neither the means nor the time to weigh each patient before administering strict weight-based drugs/procedures. A convenient, quick and accurate method is a priority in such circumstances for safety and effectiveness in emergent interventions as none exists in adults while those available are complex and yet to be validated. We aimed to study the correlation and accuracy of a quick bedside method of weight estimation in adults using height. Method The technique is estimated body weight—eBW(kg) = (N − 1)100, where ‘N’ is the measured height in metres. Adult undergraduates were enrolled 10/09/2015. Their heights and weights were measured while the formula was used to obtain the estimated weight. The SPSS version 21.0, Chicago, IL, USA was utilised for data analysis. Results We analysed 122 participants aged 21–38 years with height = 1.55 m–1.95 m. The actual body weight range = 48.0 kg–91.0 kg, mean = 65.3 kg ± 9.7 kg and S.E. = 2.0 while eBW = 55 kg–95 kg, mean = 69.1 kg ± 8.4 kg and S.E. = 1.5. On BMI classes, a positive predictive value of 94.7% for the ‘normal’ category and 95.5% for ‘overweight’. Correlation coefficient at 99% confidence interval yielded (r) = + 1, (P = 0.000) while the linear regression coefficient (r 2) = + 1 at 95% confidence interval (P = 0.000). The strength of agreement/precision was established by the Bland-Altman plot at 95% ± 2 s (P = 0.000) and kappa statistic with value = 0. 618. Conclusion This unprecedented statistical characterisation of the two weight estimate measures to have a good agreement scientifically proposes the utility of our method with the formula eBW(kg) = 100(N−1) in critical care and ATLS protocol

Assessing the Impact of Genotype-by-Environment Interactions on Agronomic Traits in Elite Cowpea Lines across Agro-Ecologies in Nigeria

The yield of cowpea varieties is affected by environmental variability. Hence, candidate varieties must be tested for yield stability before release. This study assessed the impacts of genotypes, environments, and their interaction on the performance of elite cowpea lines for key adaptive, grain yield, and associated traits across different locations. A total of 42 elite genotypes were evaluated in five Nigerian environments, representing various savanna ecologies, during the 2021 growing season. The experimental design employed was an alpha lattice arrangement, with each genotype replicated three times. The results revealed significant differences among genotypes, environments, and genotype-by-environment interaction (G × E) for most traits, including days to maturity, 100-seed weight, and grain yield. The genotype and genotype-by-environment interaction (GGE) biplot showed G21 (IT14K-2111-2) and G25 (IT15K-2386-1) as the most stable genotypes across the five environments, G41 (IT11K-61-82) was best adapted to Ibadan and Shika, G5 (245-1) was best adapted to Bagauda and Gumel, and G30 (IT16K-2365-1) was best adapted to Bauchi. G21 (IT14K-2111-2) and G25 (IT15K-2386-1) could be recommended across the five test environments, whereas G41 (IT11K-61-82), G30 (IT16K-2365-1), and G5 (245-1) were specific to the adapted environments

Palm oil mill effluent degradation by a novel strain of Bacillus sp. isolated from contaminated environment

Palm oil mill effluent (POME) has a high concentration of organic matter and total suspended solids. However, improper disposal of oil refining wastes containing oils, fats, and sludge can cause environmental damage and harm human health due to their toxic, carcinogenic, and polluting effects. This research was carried out to solve the harmful effects caused by the release of POME to the environment. The goal of this study was to isolate a naturally occurring bacterium that could degrade POME and use it as a single carbon source. Bacteria were isolated from POME-contaminated medium using an enrichment technique. Judging by 16S rRNA partial gene sequencing, morphological, biochemical, and molecular identification methods, the isolated bacteria was identified as a novel Bacillus sp. The effects of substrate concentration, inoculum size, pH, temperature, and incubation time on the bacterial growth were investigated using a ''one factor at a time'' (OFAT) approach. The optimal conditions for the bacterium's growth were found to be pH 7.5, 35 °C, 20 % v/v substrate concentration, 6 % v/v inoculum size, and 96 hours of incubation. The isolate is capable of reducing 84 % of COD and 91 % of BOD from a POME sample. The high degradation potential of POME by the isolate suggests it can be used as a good option for bioremediation of POME-polluted areas