Data in support of high rate of pregnancy related deaths in Maiduguri,Borno State,Northeast Nigeria

Pregnancy relateddeaths(PRD)arepublichealthconcerninmost developing countriesandNigeriainparticular.Despitetheefforts put inbytheconcernedauthorities,PRDremainsanintegralpart of maternalmortalityormaternaldeathsinNigeriaingeneraland Borno stateinparticular,asevidencedfromtherecordsobtained from UmaruShehuHospital,Maiduguri(astatehospitalinthe state capital.ThedatacontainsfrequencyofPRDinmonthsand grouped intogynaecology,ante-natalandpost-natal,andlabour obtained frommid-2009tomid-2017.Thestatisticalanalysisof the datamayrevealtheextentofincidenceorepidemiologyof PRD isinthestat

A report of heat stroke in two Nigerian siblings

Infants and children are at higher risk of heat stroke for several reasons. We report these cases to highlight the danger of leaving children unsupervised in vehicles, aid prompt diagnosis, and management of heat stroke. Two Nigerian siblings aged ranges 5 and 3 years old, were trapped inside an unlocked vehicle and subsequently developed heat stroke. Both children presented with hyperthermia, severe dehydration, convulsions, and loss of consciousness. One of them also had hematuria. They were treated by spraying water onto their bodies to bring down the temperature, intravenous fluid resuscitation, oxygen therapy, and anticonvulsants. Both eventually recovered and were discharged with no obvious neurologic sequalae, but are being followed.up. Key words: Childhood, heatstroke, hyperthermia, vehicular entrapmen

THE POTENTIAL OF MAIZE AS PHYTOREMEDIATION TOOL OF HEAVY METALS

This paper shows result obtained from analysis done on some selected heavy metals accumulated in maize planted in contaminated soil for forty two days. The soil (3kg) each was contaminated with 2g of the metals (as FeSO4, CdCO3 and Zn, Mn, Pb, and Cr powder), adapting experimental method of Abd-El Naby 2002 . The results show that essential heavy metals (Fe, Zn and Mn) at day 14 were high with values of 28.275±0.05, 18.210±0.03 and 4.815±0.11 in the experimental and Fe and Zn were high at 28 days with values of 30.21±0.02 and 16.52± 0.01, while at 42 days Fe and Mn were high with values of 33.01±0.00 and 16.88±0.01 respectively. The result for the control soil indicates that Fe, Pb and Zn reduced considerably with values of 3.650± 0.06, 2.006±0.00 and 1.113±0.00 respectively while at day 28 and 42 the same trend was observed to be as day 14. Generally, it was observed that the heavy metals accumulation by the plant in soil for both experimental and control is high in maize. The results show that maize can be used to phytoremediate these metals

Solutions of Chi-square Quantile Differential Equation

The quantile function of probability distributions is often sought after because of their usefulness. The quantile function of some distributions cannot be easily obtained by inversion method and approximation is the only alternative way. Several ways of quantile approximation are available, of which quantile mechanics is one of such approach. This paper is focused on the use of quantile mechanics approach to obtain the quantile ordinary differential equation of the Chi-square distribution since the quantile function of the distribution does not have close form representations except at degrees of freedom equals to two. Power series, Adomian decomposition method (ADM) and differential transform method (DTM) was used to find the solution of the nonlinear Chi-square quantile differential equation at degrees of freedom equals to two. The approximate solutions converge to the closed (exact) solution. Furthermore, power series method was used to obtain the solutions for other degrees of freedom and series expansion was obtained for large degrees of freedom

Machine Learning Heuristic for Solving Multi-Mode Resource-Constrained Project Scheduling Problems

The non-preemptive resource-constrained project scheduling problem is considered in this work. It is assumed that each activity has many ways of execution and the objective is to find a schedule that minimizes the project’s completion time (multi-mode RCPSP). Methods that are based on priority rules do not always give the needed very good results when used to solve multi-mode RCPSP. In solving large real-life problems quickly though, these methods are absolutely necessary. Hence good methods based on priority rules to get the primary results for metaheuristic algorithms are needed. This work presents a novel method based on priority rules to calculate the primary solutions for metaheuristic algorithms. It is a machine learning approach. This algorithm first of all uses Preprocessing to reduce the project data in order to speed up the process. It then employs a mode assignment procedure to obtain the mode of each job. After which the algorithm uses machine learning priority rule to get the precedence feasible activity list of the project’s tasks. Finally, it then uses the Serial Schedule Generation Scheme to get the total completion time of the project. In our experiments, we use our algorithm to solve some problems in the literature that was solved with metaheuristic procedures. We compared our results with the initial solutions the authors started with, and our results competes favorably with the initial solutions, making our algorithm a good entry point for metaheuristic procedures

Minimization of Failed Roads - A Hybrid Resource-Constrained Project Scheduling Problem

Causes of failed roads and the reasons why most roads stay consistently failed in some nations of the world, like Nigeria, may be attributed to many factors, salient among them may be corruption and recession ultimately. Corruption in the award of road construction contracts make roads not to be properly done, to meet set standards thereby failing almost immediately they are completed. So, if corruption is minimized in awarding road construction contracts, the number of failed roads maybe minimized. This paper introduces some solution methods to minimize corruption in road construction projects so that good and sustainable roads are constructed even if there is also recession. In our experiment, we formulated the construction of real life 5km asphalt road as a hybrid resource constrained project scheduling problem (HRCPSP). Using priority based project scheduling technique, our results show the number of skilled workers needed in each period which gives the idea of the amount of fund needed in each of the periods. We constructed two Gantt diagrams: when resources are unconstrained and when resources are constrained to the minimal demand of jobs in the eligible set in each period. The unconstrained Gantt diagram helps to know the maximum amount of fund that should be released to the engineers in each period. This helps to curb corruption. The constrained Gantt diagram helps to know the minimum amount that should be released to the engineers for work to go on and the project to get to completion stage even there is recession. This helps project to be completed even if there is recession

Quantile Approximation of the Chi–square Distribution using the Quantile Mechanics

In the field of probability and statistics, the quantile function and the quantile density function which is the derivative of the quantile function are one of the important ways of characterizing probability distributions and as well, can serve as a viable alternative to the probability mass function or probability density function. The quantile function (QF) and the cumulative distribution function (CDF) of the chi-square distribution do not have closed form representations except at degrees of freedom equals to two and as such researchers devise some methods for their approximations. One of the available methods is the quantile mechanics approach. The paper is focused on using the quantile mechanics approach to obtain the quantile density function and their corresponding quartiles or percentage points. The outcome of the method is second order nonlinear ordinary differential equation (ODE) which was solved using the traditional power series method. The quantile density function was transformed to obtain the respective percentage points (quartiles) which were represented on a table. The results compared favorably with known results at high quartiles. A very clear application of this method will help in modeling and simulation of physical processes

Groundwater depletion in the upper aquifer of the chad formation, Chad basin, North-Eastern Nigeria

This paper examines the present groundwater level changes in the Upper aquifer of Chad Formation in Borno basin measured in the year 2007, 2008, 2009, 2011 and 2012. The study involved collection of topographic maps of scale 1:500,000 on Nigerian sheet 4 covering the study area. Previous published literatures on the basin were also collected. Hand dug wells and their elevation were located and measured with satellite navigator. Findings from the results shows that, the Upper aquifer is a phreatic aquifer separated by thin clay layer into “A” sub-zone with depth ranging from 1 to 10 m, “B” sub-zone with depth ranging from 10 to 60 m and “C” sub-zone with depth ranging from 60 to 100 m. From the study, it can be deduced that, the C sub-zone is not recharging from seasonal infiltration of meteoric water or from the horizontal stream flow, it rather shows a depleting groundwater level. It was proved that rain of wet seasons do not recharge Upper C sub-zone to the previous wet season level, and thus the water table in the Upper C zones will be exhausted if the aquifer is not recharged at the present level of abstraction. Keywords: Groundwater, Chad Basin, Phreatic aquifer, Depletion level and Upper aquifer