Differences among age, gender and school factors in Ghanaian senior secondary school students' aspirations for entrepreneurial careers

A position paper on after-school job aspirations for Ghanaian students based on their gender, age and other school factors.Research has shown that demographic and contextual factors such as age, gender, among others have influence on secondary school students' aspirations for entrepreneurship careers. Again, it has been noted that entrepreneurial potential should be identified and evaluated at secondary school level so that teachers and counsellors will be more successful in augmenting entrepreneurial propensity at the stage of development in which individual career options are still open. This study therefore determined whether differences in age, gender and school factors influenced Ghanaian senior secondary school students' aspirations for entrepreneurial careers. The descriptive research design was adopted for this study. A total of 2,000 students were selected from Forms 3 and 4 for the study. Five research questions were set to guide the study whilst multi-stage sampling procedure was used to select the sample. A questionnaire titled “Self-Knowledge, Family Influence and Career Knowledge Level on Aspirations for Entrepreneurial Careers ” was used to obtain relevant data which were analysed using descriptive statistics. The conclusion of the study was that there were differences with respect to age, gender, course of study and school type in students' aspirations for entrepreneurial careers, while there was none regarding form/class level. Among the counselling implications are that counsellors must take into consideration personal and contextual variables of students during career counselling, especially in entrepreneurship, and also people in lower age groups must be encouraged to take up entrepreneurship, and thereafter business start-up activity. It was recommended that entrepreneurship education should be incorporated in the secondary school curriculum in Ghana, and entrepreneurial careers in particular, must not be stereotyped

Performance of Rhizophora mangle L. leaf-extract and sodium dichromate synergies on steel reinforcement corrosion in 0.5 M H2SO4-immersed concrete

This paper investigates performance of different synergistic combinations of Rhizophora mangle L leafextract and sodium dichromate (Na2Cr2O7) admixtures on the corrosion of steel-reinforcement in 0.5 M H2SO4-immersed concrete. Steel-reinforcement corrosion, in concrete slabs partially-immersed in the microbial/industrial simulating test-environment, were assessed using non-destructive electrochemical measurements of corrosion rate (CR) and open circuit potential (OCP) . Probability distribution function (pdf) analyses, as prescribed by ASTM G16-95 R04, of the scatter of corrosion test-data showed that while datasets of OCP distributed like the Normal, the Gumbel and Weibull pdf’s, the datasets of CR were best fitted by the Weibull pdf. Results identified 6 g Rhizophora mangle L leaf-extract + 2 g Na2Cr2O7 synergistic admixture with both optimal inhibition efficiency, η = 90.12%, and synergistic parameter that indicated excellent synergistic interaction of the plant-extract with Na2Cr2O7 chemical.That this synergistic admixture out-performed the also effective Na2Cr2O7 admixtures in the study suggests suitability of Rhizophora mangle L leaf-extract as eco-friendly replacement of toxic Na2Cr2O7 inhibitor in H2SO4-immersed steel-reinforced concrete. This is potent with the advantage of reducing environmental effect from lower Na2Cr2O4 usage for controlling corrosion in steel-reinforced concretes for the microbial/industrial environment

Corrosion Behaviour of Mild Steel in 0.5 M Sulphuric Acid Media in the Presence of Potassium Chromate

This research investigates the behaviour ofK2Cr04 on mild steel corrosion in 0.5 M H2S04 at ambient temperature of 30°C. The study was conducted using weight loss and potentia-dynamic polarization measurements. Data were recorded from the weight loss tests while the readout from the potentiostat was doclllllented. Adsorption studies were also carried out. Fwthermore, an investigation was conducted using surface coverage against concentration plot to determine when the best surface would be obtained during the experiment. Results from the study revealed that inhibitor efficiency increased as inhibitor concentration increased. The potentia-dynamic polarization plot also identified the inhibition mechanism of action as mixed but predominantly anodic type inhibition with maximlllll Ecorr displacement of 68 m V. The adsorption of the inhibitor agrees with the Langmuir adsorption isotherm while the separation factor which is a component of the Langmuir expression showed a favourable adsorption. The Gibbs free energy of adsorption showed negative value ( -9.8 kJ/mol) depicting a spontaneous process with a prevalence of physical adsorption. The first day cmve showed the best surface coverage values across all inhibitor concentrations utilized

Effect of synergies of K 2 Cr 2 O 7 , K 2 CrO 4 , NaNO 2 and aniline inhibitors on the corrosion potential response of steel reinforced concrete in saline medium

ABSTRACT Studies involving performance of corrosion inhibitors had been identified as one of the critical research needs for improving the durability of concrete structures. This paper investigates the effect of synergy on the performance of potassium chromate, sodium nitrite and aniline as inhibitors on the corrosion of steel-rebar in concrete in sodium chloride medium. The corrosion monitoring technique of the open circuit potential was employed for specimens of steel-reinforced concrete, with different synergistic admixtures of K 2 Cr 2 O 7 , K 2 CrO 4 , NaNO 2 and Aniline, partially immersed in the marine simulating environment. Interpretation of the statistical modelling of the experimental results, for each of the synergistic concentrations of inhibitor admixtures studied, was done using ASTM C876. The modelled ranking from these predicted the synergistic combination of 3.0g (0.064 M) K 2 Cr 2 O 7 + 4.5g (0.145M) K 2 CrO 4 + 3.0g (0.272M) NaNO 2 + 4ml (0.274M) Aniline as exhibiting optimal inhibiting quality on the corrosion of steel-reinforced concrete in the chloride medium considered

A REAL TIME FACE RECOGNITION SYSTEM USING ALEXNET DEEP CONVOLUTIONAL NETWORK TRANSFER LEARNING MODEL

. In the field of deep learning, facial recognition belongs to the computer vision category. In various applications such as access control system, security, attendance management etc., it has been widely used for authentication and identification purposes. In deep learning, transfer learning is a method of using a neural network model that is first trained on a problem similar to the problem that is being solved. The most commonly used face recognition methods are mainly based on template matching, geometric features based, algebraic and deep learning method. The advantage of template matching is that it is easy to implement, and the disadvantage is that it is difficult to deal with the pose and scale changes effectively. The most important issue, regardless of the method used in the face recognition system, is dimensionality and computational complexity, especially when operating on large databases. In this paper, we applied a transfer learning model based on AlexNet Deep convolutional network to develop a real time face recognition system that has a good robustness to face pose and illumination, reduce dimensionality, complexity and improved recognition accuracy. The system has a recognition accuracy of 98.95 %

Anticorrosion Performance of Solanum Aethiopicum on Steel-Reinforcement in Concrete Immersed in Industrial/Microbial Simulating-Environment

This paper investigates anticorrosion performance of Solanum aethiopicum leaf-extract on steel-reinforcement in concrete immersed in 0.5 M H2SO4, simulating industrial/microbial environment. For this, corrosion rate by linear polarisation resistance and corrosion potential as per ASTM C876-91 R99 were monitored from steel-reinforced concrete slabs admix ed with different Solanum aethiopicum leaf-extract concentrations and immersed in the acidic test-environment. Obtained test-data were subjected to statistical probability distributions for which compatibilities were tested using Kolmogorov-Smirnov goodness-of-fit statistics, as per ASTM G16-95 R04. These identified all datasets of corrosion test-data, from the steel-reinforced concrete samples, as coming from the Weibull probability distribution. Analysed results showed that Solanum aethiopicum leaf-extract reduced rebar corrosion condition from “high” to “low” corrosion risks of ASTM C876-91 R99. Also, the corrosion rate analyses identified 0.25% Solanum aethiopicum leaf-extract with optimal inhibition efficiency performance, η = 93.99%, while the other concentrations also exhibited good inhibition of steel-reinforcement corrosion in the test-environment

Finishing the euchromatic sequence of the human genome

The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∼99% of the euchromatic genome and is accurate to an error rate of ∼1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead

Phyllanthus muellerianus and C6H15NO3 synergistic effects on 0.5 M H2SO4-immersed steel-reinforced concrete: Implication for clean corrosion-protection of wind energy structures in industrial environment

This paper investigates Phyllanthus muellerianus leaf-extract and C6H15NO3 (triethanolamine: TEA) synergistic effects on reinforcing-steel corrosion-inhibition and the compressive-strength of steel-reinforced concrete immersed in 0.5 M H2SO4. This is to assess suitability of the synergistic admixture usage for wind-energy steel-reinforced concrete structures designed for industrial environments. Steel-reinforced concrete specimens were admixed with individual and synergistic designs of Phyllanthus muellerianus leaf-extract and C6H15NO3 admixtures and immersed in the 0.5 M H2SO4. Electrochemical monitoring of corrosion potential, as per ASTM C876-91 R99, and corrosion current were obtained and statistically analysed, as per ASTM G16-95 R04, for modelling noise resistance. Post-immersion compressive-strength testing then followed, as per ASTM C39/C39M–03, for detailing the admixture effect on load-bearing strength of the steel-reinforced concrete specimens. Results showed that while individual Phyllanthus muellerianus leaf-extract concentrations exhibited better inhibition-efficiency performance than C6H15NO3, synergistic additions of C6H15NO3 to Phyllanthus muellerianus leaf-extract improved steel-rebar corrosion-inhibition. Thus, 6 g Phyllanthus muellerianus + 2 g C6H15NO3 synergistically improved inhibition-efficiency to η = 84.17%, from η = 55.28% by the optimal chemical or from η = 74.72% by the optimal plant-extract admixtures. The study also established that improved compressive strength of steel-reinforced concrete with acceptable inhibition of the steel-rebar corrosion could be attained through optimal combination of the Phyllanthus muellerianus leaf-extract and C6H15NO3 admixtures

Effect of synergies of K2Cr2O7, K2CrO4, NaNO2 and aniline inhibitors on the corrosion potential response of steel reinforced concrete in saline medium.

Studies involving performance of corrosion inhibitors had been identified as one of the critical research needs for improving the durability of concrete structures. This paper investigates the effect of synergy on the performance of potassium chromate, sodium nitrite and aniline as inhibitors on the corrosion of steel-rebar in concrete in sodium chloride medium. The corrosion monitoring technique of the open circuit potential was employed for specimens of steel-reinforced concrete, with different synergistic admixtures of K2Cr2O7, K2CrO4, NaNO2 and Aniline, partially immersed in the marine simulating environment. Interpretation of the statistical modelling of the experimental results, for each of the synergistic concentrations of inhibitor admixtures studied, was done using ASTM C876. The modelled ranking from these predicted the synergistic combination of 3.0g (0.064 M) K2Cr2O7 + 4.5g (0.145M) K2CrO4 + 3.0g (0.272M) NaNO2 + 4ml (0.274M) Aniline as exhibiting optimal inhibiting quality on the corrosion of steel-reinforced concrete in the chloride medium considered