Teacher Quality Factors as Determinant of Students’ Achievement in Mathematics

This paper tries to find out the effect of teacher quality factors on students achievement in Mathematics. The teacher qualities that were considered in the study include teachers’ experience, qualification motivation interest satisfaction and teaching techniques. The data for the study were collected through the questionnaires designed for the teachers and students result collected. Analysis of variance (ANOVA) and regression analysis were used to analyze the data. It was found out that all the teacher qualities considered in the study determine the achievement of student in Mathematics to a large extent. Keywords: Teacher Quality, Achievement, Motivation, Teachers’ Qualification, Experienc

Industrial development and growth in Nigeria: Lessons and challenges

The structure of the Nigerian economy is typical of an underdeveloped country. The primary sector, in particular, the oil and gas sector, dominates the gross domestic product accounting for over 95 per cent of export earnings and about 85 per cent of government revenue between 2011 and 2012. The industrial sector accounts for 6 per cent of economic activity while the manufacturing sector contributed only 4 per cent to GDP in 2011. The economic transformation agenda, otherwise known as Nigeria Vision 20: 2020, sets the direction for the current industrial policy in Nigeria. The industrialization strategy aims at achieving greater global competitiveness in the production of processed and manufactured goods by linking industrial activity with primary sector activity, domestic and foreign trade, and service activity

Grid Computing: A Desirable Tool for Electronic Governance

This paper explained how Government at different levels can apply Information and Communication Technology (ICT) to achieve efficiency, effectiveness, transparency and accountability in Government to Government (G2G), Government to Employee (G2E), Government to Citizen (G2C) and Government to Business (G2B).   This application is referred to as Electronic Governance (e-Governance).  The system enables citizens to make best use of automated administration processes that are accessible on-line.  Grid computing is an ideal solution to this type of administrative processes.  This paper therefore presents how Grid computing can be used to effectively and efficiently meet the yearnings of citizenry.   Generally, we demonstrated the creation of a virtual environment by using Grid technologies to a specific e-governance application on distributed resources. We presented a framework for the adoption of grid computing for                   e-governance management using Electronic Bill server (EB server), Comprehensive Welfare and Social Services server (CWSS server) and Corporation sever (C server).  Experiments were run with the Grid environment and without Grid environment by considering the number of jobs completed and the period to complete various jobs submitted for processing using MATLAB. The numbers of jobs completed by EB server by using Grid are: 20, 40, 60, 80,100 and 120 while 15, 25, 33, 60, 72 and 90 were completed without Grid under the same condition.  The numbers of jobs completed by CWSS server with Grid are: 30,50,70,90,120 and 130 while 22.5, 37.5, 52.5, 67.5 90 and 97.5 were completed without Grid.   The numbers of jobs completed by Corporation server under Grid are: 30,50,70,90,120 and 130 while 24, 40,56,72,96 and 104 were completed without Grid.   The period to complete various jobs submitted for processing by the EB server under Grid are: 18, 30, 42, 54,72 and 88minutes while 30,50,70,90,120 and 130minutes were required without Grid.  For CWSS server, the period to complete various jobs submitted for processing under Grid are: 6.5, 19.5, 32.5, 45.5, 58.5,78 and 84.5minutes while 10, 30,50,70,90,120 and 130minutes were required without Grid.  For Corporation server, the period to complete various jobs submitted for processing under Grid are:  6.4,19.2,32,44.8,57.6, 76.8 and 82.2minutes while 10,30,50,70,90 120, and 130minutes were required without Grid. The result of simulation revealed that implementing an e-Governance solution was cost effective, efficient, consistent and reduced job processing time with high quality of result and providing better services to citizens. Keywords: E-Governance, Grid Applications, Grid Computing, Grid environment, Grid Infrastructure and Grid Resource Broker

Computational Numerical Solution for Traveling Salesman Problem

This paper examined and analyzed the desire of Traveling Salesman Problem (TSP) to find the cheapest way of visiting all given set of cities and returning to the starting point.     We presented a unique decomposition approach model for TSP in which the requirements and features of practical application in communication network, road transportation and supply chains are put into consideration.  We used a Mathematical Modeling solution with the application of Ant Colony Search Algorithm (ACSA) approach for result computation.  In our approach, different Agents were created for difference purposes.   Information agent gathered information about best tour and detected the solution agent that arrived at a given point with information message containing details of where the solution agent has come from as well as best tour cost.  The place ant performs local pheromone decay on the relevant links.   This help to avoid random visit to irrelevant edges and allows the place ant to calculate the cost of tour of all place ants including the latest pheromone level on the links to each of the place ants. The solution agent uses available information to decide  which node to visit next and informs the place ant of  its decision to move to a given destination and update better tour  previously sampled while information about where to go next also obtained.  The place ant updates its pheromone value for that link using the equivalent of the algorithm for local pheromone update.  The cycle continues until solution agent arrives at its destination. The main advantage of our approach is that it permits the use of mixed integer programming and combinatorial optimization techniques to compute real optimal routing path, solving the problem in practice by returning actual shortest route with its numerical value and not the best effort result as provided by some previous models and analytical methods. The implementation was carried out using C# programming language.  Data used were generated and the performance evaluation of the model was carried out through simulation using Matlab 7.0.  The result shows that by considering all possible paths between a node as the source and another as the destination, all possible routes for a particular journey with shortest route in each case were generated. Keywords: Ant Colony, Combinatorial Optimization, Mixed Integer Programming, Pheromone, Search Algorithm and Traveling Salesman

Seatbelt use and risk of major injuries sustained by vehicle occupants during motor-vehicle crashes: A systematic review and meta-analysis of cohort studies

BackgroundIn 2004, a World Health Report on road safety called for enforcement of measures such as seatbelt use, effective at minimizing morbidity and mortality caused by road traffic accidents. However, injuries caused by seatbelt use have also been described. Over a decade after publication of the World Health Report on road safety, this study sought to investigate the relationship between seatbelt use and major injuries in belted compared to unbelted passengers.MethodsCohort studies published in English language from 2005 to 2018 were retrieved from seven databases. Critical appraisal of studies was carried out using the Scottish Intercollegiate Guidelines Network (SIGN) checklist. Pooled risk of major injuries was assessed using the random effects meta-analytic model. Heterogeneity was quantified using I-squared and Tau-squared statistics. Funnel plots and Egger's test were used to investigate publication bias. This review is registered in PROSPERO (CRD42015020309).ResultsEleven studies, all carried out in developed countries were included. Overall, the risk of any major injury was significantly lower in belted passengers compared to unbelted passengers (RR 0.47; 95%CI, 0.29 to 0.80; I-2=99.7; P=0.000). When analysed by crash types, belt use significantly reduced the risk of any injury (RR 0.35; 95%CI, 0.24 to 0.52). Seatbelt use reduces the risk of facial injuries (RR=0.56, 95% CI=0.37 to 0.84), abdominal injuries (RR=0.87; 95% CI=0.78 to 0.98) and, spinal injuries (RR=0.56, 95% CI=0.37 to 0.84). However, we found no statistically significant difference in risk of head injuries (RR=0.49; 95% CI=0.22 to 1.08), neck injuries (RR=0.69: 95%CI 0.07 to 6.44), thoracic injuries (RR 0.96, 95%CI, 0.74 to 1.24), upper limb injuries (RR=1.05, 95%CI 0.83 to 1.34) and lower limb injuries (RR=0.77, 95%CI 0.58 to 1.04) between belted and non-belted passengers.ConclusionIn sum, the risk of most major road traffic injuries is lower in seatbelt users. Findings were inconclusive regarding seatbelt use and susceptibility to thoracic, head and neck injuries during road traffic accidents. Awareness should be raised about the dangers of inadequate seatbelt use. Future research should aim to assess the effects of seatbelt use on major injuries by crash type

Inhaled carbon monoxide protects against the development of shock and mitochondrial injury following hemorrhage and resuscitation

Aims: Currently, there is no effective resuscitative adjunct to fluid and blood products to limit tissue injury for traumatic hemorrhagic shock. The objective of this study was to investigate the role of inhaled carbon monoxide (CO) to limit inflammation and tissue injury, and specifically mitochondrial damage, in experimental models of hemorrhage and resuscitation. Results: Inhaled CO (250 ppm for 30 minutes) protected against mortality in severe murine hemorrhagic shock and resuscitation (HS/R) (20% vs. 80%; P<0.01). Additionally, CO limited the development of shock as determined by arterial blood pH (7.25±0.06 vs. 7.05±0.05; P<0.05), lactate levels (7.2±5.1 vs 13.3±6.0; P<0.05), and base deficit (13±3.0 vs 24±3.1; P<0.05). A dose response of CO (25-500 ppm) demonstrated protection against HS/R lung and liver injury as determined by MPO activity and serum ALT, respectively. CO limited HS/R-induced increases in serum tumor necrosis factor-α and interleukin-6 levels as determined by ELISA (P<0.05 for doses of 100-500ppm). Furthermore, inhaled CO limited HS/R induced oxidative stress as determined by hepatic oxidized glutathione:reduced glutathione levels and lipid peroxidation. In porcine HS/R, CO did not influence hemodynamics. However, CO limited HS/R-induced skeletal muscle and platelet mitochondrial injury as determined by respiratory control ratio (muscle) and ATP-linked respiration and mitochondrial reserve capacity (platelets). Conclusion: These preclinical studies suggest that inhaled CO can be a protective therapy in HS/R; however, further clinical studies are warranted

A collaboratively derived international research agenda on legislative science advice

© 2019, The Author(s). The quantity and complexity of scientific and technological information provided to policymakers have been on the rise for decades. Yet little is known about how to provide science advice to legislatures, even though scientific information is widely acknowledged as valuable for decision-making in many policy domains. We asked academics, science advisers, and policymakers from both developed and developing nations to identify, review and refine, and then rank the most pressing research questions on legislative science advice (LSA). Experts generally agree that the state of evidence is poor, especially regarding developing and lower-middle income countries. Many fundamental questions about science advice processes remain unanswered and are of great interest: whether legislative use of scientific evidence improves the implementation and outcome of social programs and policies; under what conditions legislators and staff seek out scientific information or use what is presented to them; and how different communication channels affect informational trust and use. Environment and health are the highest priority policy domains for the field. The context-specific nature of many of the submitted questions—whether to policy issues, institutions, or locations—suggests one of the significant challenges is aggregating generalizable evidence on LSA practices. Understanding these research needs represents a first step in advancing a global agenda for LSA research

Moving to capture children’s attention: developing a methodology for measuring visuomotor attention

Attention underpins many activities integral to a child’s development. However, methodological limitations currently make large-scale assessment of children’s attentional skill impractical, costly and lacking in ecological validity. Consequently we developed a measure of ‘Visual Motor Attention’ (VMA) - a construct defined as the ability to sustain and adapt visuomotor behaviour in response to task-relevant visual information. In a series of experiments, we evaluated the capability of our method to measure attentional processes and their contributions in guiding visuomotor behaviour. Experiment 1 established the method’s core features (ability to track stimuli moving on a tablet-computer screen with a hand-held stylus) and demonstrated its sensitivity to principled manipulations in adults’ attentional load. Experiment 2 standardised a format suitable for use with children and showed construct validity by capturing developmental changes in executive attention processes. Experiment 3 tested the hypothesis that children with and without coordination difficulties would show qualitatively different response patterns, finding an interaction between the cognitive and motor factors underpinning responses. Experiment 4 identified associations between VMA performance and existing standardised attention assessments and thereby confirmed convergent validity. These results establish a novel approach to measuring childhood attention that can produce meaningful functional assessments that capture how attention operates in an ecologically valid context (i.e. attention's specific contribution to visuomanual action)