Application of Statistical and Mathematical Algorithms to Data Analytics and Job Creation in Nigeria

In this paper, we examine the use of statistical and mathematical algorithms in data analytics and their application in business intelligence, insights and collective intelligence, for enhanced job creation interventions in Nigeria. The paper argues that the demand-driven job creation, involving developing skills for existing vacancies or opportunities is no longer sustainable in the current challenging economic conditions. Rather it makes a case for supply-driven job creation, where skills are developed in technology and data analytics (with strong reliance on statistics and mathematics), with a view to solving business and corporate problems, thereby enhancing job creation in those businesses and corporations, which hitherto had no vacancies. The paper surveys statistical and mathematical algorithms, categorized as supervised and unsupervised learning techniques, applied in data analytics, and discusses the emerging requirements for data analytics in modern business and corporations. It further discusses modern application of data analytics in a number of business areas such as marketing, customer management, finances, data mining, web and learning, highlighting a number of metrics specific to each sector. The paper also identifies the specialized skills required to create job opportunities in key sectors in Nigeria. Drawing extensively from the lead author’s experience in the UK, the paper presents how skills in modern data analytics can lead in creating job opportunities, a major lesson for Nigeria. Keywords: Job Creation, Data Analytics, Data Science, Business intelligence, Insights, Algorithm

Economic Integration in the ECOWAS: Implications for Financial Intermediation in Nigeria

The study employed the autoregressive distributed lag (ARDL) approach to co-integration to estimate a set of four models with a view to examining the impact of ECOWAS integration on financial intermediation in Nigeria, which was differentiated by type of financial development indicators (FD) used as dependent variable in the different models. The dependent variables were the proxies for financial intermediation in Nigeria, namely; ratio of credit to private sector provided by commercial banks to national GDP (CPS_GDP); ratio of broad money supply (M2) to GDP (M2_GDP); and ratio of commercial bank’s assets to the combination of commercial banks’ and central bank’s assets (COMB_ASSETS). A composite measure of the three financial intermediation indicator was also used in the fourth model. The study data ranged from 1960 to 2018, and comprised Nigerian and ECOWAS macroeconomic variables obtained from different sources.  ADF test was conducted to test for unit root and the result showed that the variables have a unit root. Across the four models, the results of the study showed that ECOWAS regional economic integration does not significantly influence the degree of financial intermediation in Nigeria, and may not be promoting development of the Nigerian financial sector. On the contrary, domestic macroeconomic developments are, however, more supportive of financial intermediation in Nigeria, and suggest the need to improve monetary conditions and credit access and availability. It has become imperative, therefore, to carry out a cost-benefit and impact analyses of the region’s integration to help reposition the country for its benefits. Keywords: economic integration, financial intermediation, autoregressive distributed lag (ARDL), co-integration, ECOWAS, Nigeria JEL Classification: E44, F36, G2, G32, G21. DOI: 10.7176/JESD/11-4-06 Publication date: February 29th 2020

Methane-carbon flow into the benthic food web at cold seeps – a case study from the Costa Rica subduction zone

Cold seep ecosystems can support enormous biomasses of free-living and symbiotic chemoautotrophic organisms that get their energy from the oxidation of methane or sulfide. Most of this biomass derives from animals that are associated with bacterial symbionts, which are able to metabolize the chemical resources provided by the seeping fluids. Often these systems also harbor dense accumulations of non-symbiotic megafauna, which can be relevant in exporting chemosynthetically fixed carbon from seeps to the surrounding deep sea. Here we investigated the carbon sources of lithodid crabs (Paralomis sp.) feeding on thiotrophic bacterial mats at an active mud volcano at the Costa Rica subduction zone. To evaluate the dietary carbon source of the crabs, we compared the microbial community in stomach contents with surface sediments covered by microbial mats. The stomach content analyses revealed a dominance of epsilonproteobacterial 16S rRNA gene sequences related to the free-living and epibiotic sulfur oxidiser Sulfurovum sp. We also found Sulfurovum sp. as well as members of the genera Arcobacter and Sulfurimonas in mat-covered surface sediments where Epsilonproteobacteria were highly abundant constituting 10% of total cells. Furthermore, we detected substantial amounts of bacterial fatty acids such as i-C15:0 and C17:1ω6c with stable carbon isotope compositions as low as −53‰ in the stomach and muscle tissue. These results indicate that the white microbial mats at Mound 12 are comprised of Epsilonproteobacteria and that microbial mat-derived carbon provides an important contribution to the crab's nutrition. In addition, our lipid analyses also suggest that the crabs feed on other 13C-depleted organic matter sources, possibly symbiotic megafauna as well as on photosynthetic carbon sources such as sedimentary detritus

Interpretative and predictive modelling of Joint European Torus collisionality scans

Transport modelling of Joint European Torus (JET) dimensionless collisionality scaling experiments in various operational scenarios is presented. Interpretative simulations at a fixed radial position are combined with predictive JETTO simulations of temperatures and densities, using the TGLF transport model. The model includes electromagnetic effects and collisions as well as □(→┬E ) X □(→┬B ) shear in Miller geometry. Focus is on particle transport and the role of the neutral beam injection (NBI) particle source for the density peaking. The experimental 3-point collisionality scans include L-mode, and H-mode (D and H and higher beta D plasma) plasmas in a total of 12 discharges. Experimental results presented in (Tala et al 2017 44th EPS Conf.) indicate that for the H-mode scans, the NBI particle source plays an important role for the density peaking, whereas for the L-mode scan, the influence of the particle source is small. In general, both the interpretative and predictive transport simulations support the experimental conclusions on the role of the NBI particle source for the 12 JET discharges

Inspecting debt servicing mechanism in Nigeria using ARMAX model of the Koyck-kind

The burden of external debt affects the wellbeing of an economy (or a country) by making the economy vulnerable to external shocks and crowding out investment. When dealing with debt management in indebted poor countries like Nigeria, the rational approach is to allocate a portion of export earnings for debt service payments. Along this line, there is a need to identify the link between debt servicing and export earnings. Hence, the current and long-run effects of export earnings on debt service payments are modelled as a single-input-single-output discrete-time dynamical system within the framework of the Autoregressive moving average explanatory input model of the Koyck kind (KARMAX). The KARMAX model is identified for Nigeria using data from the World Bank database from 1970 to 2018 based on the maximum likelihood (ML) method, and the obtained results are compared to the prediction error and the instrumental variable methods. From a theoretical perspective, the KARMAX specification identified by the ML method is more ideal and inspiring. By doing so, this article contributes to the literature on the econometrics of public debt management

Anaerobic Methane Oxidizers

The anaerobic oxidation of methane (AOM) with sulfate as the final electron acceptor according to (CH4 + SO4 2− → HCO3 − + HS− + H2O) is the major sink of methane in the oceans and hence a significant process in the global carbon cycle and methane budget. Anaerobic methane oxidizing archaea (ANME) and sulfate-reducing bacteria (SRB) are assumed to act as a syntrophic consortium where the archaeal partner activates and metabolizes methane, leading to an intermediate that is scavenged as electron donor by the sulfate-reducing partner. All known anaerobic methanotrophs are related to the methanogenic Euryarchaeota. Recently, much has been learned about the distribution, activity, and physiology of the ANME, however, not a single member of these groups has been obtained in culture and the biochemical functioning of AOM remains unknown

Anaerobic Methane Oxidizers

The anaerobic oxidation of methane (AOM) with sulfate as the final electron acceptor according to the net reaction CH4 + SO42- -> HCO3- -> HS- + H2O is the major sink of methane in the ocean floor and hence a significant process in the marine methane budget and the global carbon cycle. Since its discovery, much has been learned about the distribution of the AOM process, its activity in different settings, and connections to other metabolic reactions in the seafloor. AOM is performed by consortia of anaerobic methane-oxidizing archaea (ANME) and sulfate-reducing bacteria (SRB). Since all known ANME and most of their partner bacteria have so far resisted isolation, the physiology of both organisms has been largely inferred from culture-independent approaches on natural enrichments or enrichment cultures. All known ANME are related to methanogenic Euryarchaeota, and as such they reverse the methanogenesis pathway to activate and completely oxidize methane. The reducing equivalents are shuttled to the partner bacteria, which use them for sulfate reduction. Recently, evidence has been found for ANME that can use nitrate or iron as electron acceptors. The exact mechanisms for the required exchange of reducing equivalents in AOM and their genetic codes are yet poorly understood, but recently discovered accumulations of cytochromes and nanowire connections in the intercellular space of the consortia suggest direct electron transfer between both partners

Role of fast ion pressure in the isotope effect in JET L-mode plasmas

This paper presents results of JET ITER-like wall L-mode experiments in hydrogen and deuterium (D) plasmas, dedicated to the study of the isotope dependence of ion heat transport by determination of the ion critical gradient and stiffness by varying the ion cyclotron resonance heating power deposition. When no strong role of fast ions in the plasma core is expected, the main difference between the two isotope plasmas is determined by the plasma edge and the core behavior is consistent with a gyro-Bohm scaling. When the heating power (and the fast ion pressure) is increased, in addition to the difference in the edge region, also the plasma core shows substantial changes. The stabilization of ion heat transport by fast ions, clearly visible in D plasmas, appears to be weaker in H plasmas, resulting in a higher ion heat flux in H with apparent anti-gyro-Bohm mass scaling. The difference is found to be caused by the different fast ion pressure between H and D plasmas, related to the heating power settings and to the different fast ion slowing down time, and is completely accounted for in non-linear gyrokinetic simulations. The application of the TGLF quasi-linear model to this set of data is also discussed

Control of the hydrogen:deuterium isotope mixture using pellets in JET

Deuterium pellets are injected into an initially pure hydrogen H-mode plasma in order to control the hydrogen: deuterium (H:D) isotope mixture. The pellets are deposited in the outer 20% of the minor radius, similar to that expected in ITER, creating transiently hollow electron density profiles. A H: D isotope mixture of approximately 45%:55% is obtained in the core with a pellet fuelling throughput of Phi(pel) = 0.045P(aux)/T-e,T-ped similar to previous pellet fuelling experiments in pure deuterium. Evolution of the H: D mix in the core is reproduced using a simple model, although deuterium transport could be higher at the beginning of the pellet train compared with the flat-top phase

Interpretative and predictive modelling of Joint European Torus collisionality scans

Transport modelling of Joint European Torus (JET) dimensionless collisionality scaling experiments in various operational scenarios is presented. Interpretative simulations at a fixed radial position are combined with predictive JETTO simulations of temperatures and densities, using the TGLF transport model. The model includes electromagnetic effects and collisions as well as (E)over-right-arrow x (b)over-right-arrow shear in Miller geometry. Focus is on particle transport and the role of the neutral beam injection (NBI) particle source for the density peaking. The experimental 3-point collisionality scans include L-mode, and H-mode (D and H and higher beta D plasma) plasmas in a total of 12 discharges. Experimental results presented in (Tala et al 2017 44th EPS Conf.) indicate that for the H-mode scans, the NBI particle source plays an important role for the density peaking, whereas for the L-mode scan, the influence of the particle source is small. In general, both the interpretative and predictive transport simulations support the experimental conclusions on the role of the NBI particle source for the 12 JET discharges