Investigating major subject research areas of Council for Scientific and Industrial Research Journals in Ghana

Journals are important source of relevant and quality information. They provide current source of up-to-date information to facilitate research, teaching, learning and knowledge dissemination. The objective of the study is to investigate the major subject research areas covered by the articles of the five journals in the Council for Scientific and Industrial Research. The study was undertaken in the CSIR of Ghana in which a major device for data collection was quantitative content analysis. This mode of data collection was determined after its validity and reliability among 1,430 journal articles from four CSIR Institutes was proven. Data collected were analysed using tables and graphs to group major publications. Results from the research indicated that cereal and legumes recorded the highest (318) disciplines in all the five journals in the CSIR

A Study of the Publication pattern in CSIR- Plant Genetic Resources Research Institute

Plant genetic resources (PGR) are those resources that are of benefit to man. They are plant materials containing useful characters of actual or potential values. They are the basic raw mate­rials for crop improvement today and for the future. This paper analysed changes in publication trend by scientists from 1981 to 2015 at the CSIR-Plant Genetic Resources Research Institute. It investigated major commodities covered by the articles produced by scientists of the Institute. The main area of study included publication formats covered by the articles in the Plant Ge­netic Resources Research Institute Reference (PGRRIREF Directory) (1981-2015). The study also highlighted recent research and development activities in each publication discipline in the PGRRIREF Directory. It is believed that information gathered from the analysis of this research, would increase the utilization of the crop plants in Ghana and beyond. Content analysis method and interviews were used for the study of the Publication pattern in CSIR-Plant Genetic Re­sources Research Institute. The findings indicated among others that, socio-economic (27.2%), horticulture (21.5%), root and tubers (18.5%) recorded increasing publication disciplines. Tech­nologies developed in these publication disciplines could be put on-line for a wider audience to enhance efficient conservation and utilization of plant genetic resources materials. Keywords: CSIR-Plant Genetic Resources Research Institute; publication pattern; discipline; formats; research activitie

Effects of normobaric hypoxia on oxygen saturation variability

Background: The study is the first to evaluate the effects of graded normobaric hypoxia on SpO2 variability in healthy individuals. / Materials and Methods: Twelve healthy males (mean [standard deviation] age 22 [4] years) were exposed to four simulated environments (fraction of inspired oxygen [FIO2]: 0.12, 0.145, 0.17, and 0.21) for 45 minutes, in a balanced crossover design. / Results: Sample entropy, a tool that quantifies the irregularity of pulse oximetry fluctuations, was used as a measure of SpO2 variability. SpO2 entropy increased as the FIO2 decreased, and there was a strong significant negative correlation between mean SpO2 and its entropy during hypoxic exposure (r = −0.841 to −0.896, p < 0.001). In addition, SpO2 sample entropy, but not mean SpO2, was correlated (r = 0.630–0.760, p < 0.05) with dyspnea in FIO2 0.17, 0.145, and 0.12 and importantly, SpO2 sample entropy at FIO2 0.17 was correlated with dyspnea at FIO2 0.145 (r = 0.811, p < 0.01). / Conclusions: These findings suggest that SpO2 variability analysis may have the potential to be used in a clinical setting as a noninvasive measure to identify the negative sequelae of hypoxemia

Analysis of seed yam varieties, sources and quantity demanded by farmers in major yam producing districts in Ghana

The study analysed the varieties, sources and quantities of seed yam demanded by farmers for cultivation in order to inform policies aimed at ensuring adequate supply of quality seed yam of desirable varieties at an affordable price to boost yam productivity for improved income and livelihoods. A structured questionnaire was administered to 380 randomly selected yam farmers in three major yam producing districts in Ghana in 2015. The data analysis was done using STATA statistical software. The study identified Pona/Punjo, Lariboko, Asana, Afebetuye, Dente, Olondo and Kparinjo as the yam varieties mainly cultivated by farmers in a reducing order with high market demands by consumers. Own production remains the major source of seed yam for farmers. The estimated monetary value of quantity of seed yam used by farmers for cultivation in 2014 farming season was GH¢ 198, 552,841.0 (USD 51,706,469.0) in the study locations. About GH¢ 5,679,979.0 (USD 1,479,161.2) worth of quantities of seed yam was obtained from the market and other sources. The results demonstrate the existence of market potential for commercial seed yam production and supply in Ghana. Commercial seed yam certification system and yam breeding activities should target the identified yam varieties

ANTIOXIDANT AND ANTI-PROLIFERATIVE EFFECTS OF AN ETHYL ACETATE FRACTION OF THE HYDRO-ETHANOLIC EXTRACT OF SYNEDRELLA NODIFLORA (L) GAERTN

Objective: Synedrella nodiflora is traditionally used in the treatment of several ailments. Pharmacologically, this plant has anticonvulsant, sedative, anti-nociceptive and anti-proliferative effects. This study further investigated S. nodiflora for its antioxidant and in vitro inhibition of cancerous cell lines. Methods: Phytochemical assays, and the DPPH radical scavenging method were employed in preliminary screening for antioxidant activities of the crude hydro-ethanolic extract (SNE) and resulting fractions. The potent ethyl acetate fraction (EAF), was further investigated for total phenol and flavonoid contents, reducing power, lipid peroxidation potential, and cytotoxic effects on human breast cancer (MCF-7), leukemic (Jurkat), and normal liver (Chang’s liver) cell lines. Results: The extract contained phenols, flavonoids, tannins, glycosides, sterols, terpenoids, and alkaloids. It scavenged for DPPH with an IC50 of 114 µg/ml, whereas that of EAF was 8.9 µg/ml. EAF prevented peroxidation of egg lecithin at an IC50 of 24.01±0.08 µg/ml. These IC50s are four and three times lower than the reference standards. EAF produced anti-proliferative effects against MCF-7, and Jurkat cell lines with IC50s of 205.2 and 170.9 µg/ml, respectively. EAF had a high IC50 of 252.2 µg/ml against Chang’s liver cells. At 0.1 mg/ml EAF had similar total flavonoid content to SNE, but a significantly higher total phenol content. Conclusion: The ethyl acetate fraction of S. nodiflora, exhibited the most potent antioxidant activity. It inhibited the proliferation of breast and leukemic cancer cell lines, whiles having weak cytotoxic effect on normal liver cells. These can be explored for further drug development

ImmunoCluster provides a computational framework for the non-specialist to profile high- dimensional cytometry data

High dimensional cytometry is an innovative tool for immune monitoring in health and disease, it has provided novel insight into the underlying biology as well as biomarkers for a variety of diseases. However, the analysis of large multiparametric datasets usually requires specialist computational knowledge. Here we describe ImmunoCluster (https://github.com/kordastilab/ImmunoCluster) an R package for immune profiling cellular heterogeneity in high dimensional liquid and imaging mass cytometry, and flow cytometry data, designed to facilitate computational analysis by a non-specialist. The analysis framework implemented within ImmunoCluster is readily scalable to millions of cells and provides a variety of visualization and analytical approaches, as well as a rich array of plotting tools that can be tailored to users' needs. The protocol consists of three core computational stages: 1, data import and quality control; 2, dimensionality reduction and unsupervised clustering; and 3, annotation and differential testing, all contained within an R-based open-source framework

Immunocluster provides a computational framework for the nonspecialist to profile high-dimensional cytometry data

High-dimensional cytometry is an innovative tool for immune monitoring in health and disease, and it has provided novel insight into the underlying biology as well as biomarkers for a variety of diseases. However, the analysis of large multiparametric datasets usually requires specialist computational knowledge. Here, we describe ImmunoCluster (https://github.com/ kordastilab/ImmunoCluster), an R package for immune profiling cellular heterogeneity in highdimensional liquid and imaging mass cytometry, and flow cytometry data, designed to facilitate computational analysis by a nonspecialist. The analysis framework implemented within ImmunoCluster is readily scalable to millions of cells and provides a variety of visualization and analytical approaches, as well as a rich array of plotting tools that can be tailored to users’ needs. The protocol consists of three core computational stages: (1) data import and quality control; (2) dimensionality reduction and unsupervised clustering; and (3) annotation and differential testing, all contained within an R-based open-source framework

Surviving elections: election violence, incumbent victory, and post-election repercussions

It is often assumed that government-sponsored election violence increases the probability that incumbent leaders remain in power. Using cross-national data, we show that election violence increases the probability of incumbent victory, but can generate risky post-election dynamics. These differences in the consequences of election violence reflect changes in the strategic setting over the course of the election cycle. In the pre-election period, anti-incumbent collective action tends to be focused on the election itself, either through voter mobilization or opposition-organized election boycotts. In the post-election period, by contrast, when a favorable electoral outcome is no longer a possibility, anti-government collective action more often takes the form of mass political protest, which in turn can lead to costly repercussions for incumbent leaders

Development and Validation of an RP-HPLC Method for the Quantitative Analysis of Triclosan in Human Urine

Triclosan (TCS), a synthesized chlorinated phenolic compound, is commonly utilized in consumable products as an antimicrobial agent. TCS has sparked widespread awareness because of its toxicity and possible negative effect on public health in recent years. In this study, a highly sensitive, fast, and cost-effective isocratic reversed-phase high-performance liquid chromatography (RP-HPLC) method coupled with solid-phase extraction for analysis of triclosan in human urine samples was developed. The method utilized methanol and water in a ratio of 90 : 10 as the mobile phase on a Phenomenex Luna 3 µm C18(2) 100 Å, 150 × 4.60 mm stationary phase, with a runtime of 5 minutes. The method showed good resolution of triclosan in the presence of the sample matrix. Validation of the method was performed according to the International Council for Harmonization of Technical Requirements for Pharmaceuticals for Human Use (ICH). Linearity was tested over a range of 0.00625 µg/mL to 6.4 µg/mL, as accuracy recorded a recovery of 89.25%, 91.0%, and 92.75%. Limits of detection (LOD) and quantification (LOQ) were obtained to be 0.0173 µg/mL and 0.0525 µg/mL, respectively. The method proved to be robust over a temperature range of 26°C, 30°C, and 35°C and a flow rate of 0.5 ml, 1.0 ml, and 1.5 ml. The developed method was employed to detect and quantify triclosan in 153 urine samples, comprising 60 samples from Ibadan, Nigeria, and 93 samples from Kumasi, Ghana. Triclosan was detected in a total of 52 samples with an average content of 0.054588 µg/ml. This method can therefore be used for the routine analysis of triclosan in urine samples