Role of Geoinformatics for Ghana oil and gas industry

The Geoinformatics Engineer (GE), who uses mathematical theory and precise measurements for the collection and distribution of geospatial data, plays a significant role in the oil and gas industry. The paper reviews the role the HE would play in t he recent oil and gas discovery in Ghana. This is because the GE is required in the planning and execution of nearly every form of activities at the upstream, midstream and downstream; for example offshore and onshore construction, exploration and engineering for the production and dissemination of oil and gas. Ghana is at the initial stages in the commercial production of oil and gas; and thus needs research institutions with excellent practical and research skills, such as the Department of Geomat ic Engineering (DGE), Kwame Nkrumah University of Science and Technology (KNUST), Ghana and School of Earth Sciences and Engineering (SESE), Hohai University, China, in employing Geoinformatics theories, applications and principles for geospatial decision making for sustainable production of oil and gas for Ghana and the Sub - Saharan Africa. SESE expertise in 3S Technology would greatly assist in the construction and monitoring of oil and gas infrastructures at the upstream, midstream and downstr eam. The pap er recommends useful suggestions for smooth management of the oil and gas industry focusing on GEs and research institutions

Proteomics Mapping of Cord Blood Identifies Haptoglobin “Switch-On” Pattern as Biomarker of Early-Onset Neonatal Sepsis in Preterm Newborns

Intra-amniotic infection and/or inflammation (IAI) are important causes of preterm birth and early-onset neonatal sepsis (EONS). A prompt and accurate diagnosis of EONS is critical for improved neonatal outcomes. We sought to explore the cord blood proteome and identify biomarkers and functional protein networks characterizing EONS in preterm newborns.We studied a prospective cohort of 180 premature newborns delivered May 2004-September 2009. A proteomics discovery phase employing two-dimensional differential gel electrophoresis (2D-DIGE) and mass spectrometry identified 19 differentially-expressed proteins in cord blood of newborns with culture-confirmed EONS (n = 3) versus GA-matched controls (n = 3). Ontological classifications of the proteins included transfer/carrier, immunity/defense, protease/extracellular matrix. The 1(st)-level external validation conducted in the remaining 174 samples confirmed elevated haptoglobin and haptoglobin-related protein immunoreactivity (Hp&HpRP) in newborns with EONS (presumed and culture-confirmed) independent of GA at birth and birthweight (P<0.001). Western blot concurred in determining that EONS babies had conspicuous Hp&HpRP bands in cord blood ("switch-on pattern") as opposed to non-EONS newborns who had near-absent "switch-off pattern" (P<0.001). Fetal Hp phenotype independently impacted Hp&HpRP. A bayesian latent-class analysis (LCA) was further used for unbiased classification of all 180 cases based on probability of "antenatal IAI exposure" as latent variable. This was then subjected to 2(nd)-level validation against indicators of adverse short-term neonatal outcome. The optimal LCA algorithm combined Hp&HpRP switch pattern (most input), interleukin-6 and neonatal hematological indices yielding two non-overlapping newborn clusters with low (≤20%) versus high (≥70%) probability of IAI exposure. This approach reclassified ∼30% of clinical EONS diagnoses lowering the number needed to harm and increasing the odds ratios for several adverse outcomes including intra-ventricular hemorrhage.Antenatal exposure to IAI results in precocious switch-on of Hp&HpRP expression. As EONS biomarker, cord blood Hp&HpRP has potential to improve the selection of newborns for prompt and targeted treatment at birth