A Monitoring and Control System for Micro and Small Enterprises: The Use of RUMSEG at the District Level in Ghana

Rural folks in many districts in Ghana engage in various profit-making businesses which range from traditionally skilled-based manufacturing to retailing businesses. As a result, local government authorities together with stakeholders such as Rural Enterprise Project (REP) are interested in monitoring the development tendencies of these trade categories at their micro and small-scale levels. This paper comes out with Rural Micro and Small Scale Enterprises Growth (RUMSEG) tool that enables District Assemblies (DAs) to monitor and evaluate growth performances of Micro and Small-scale Enterprises (MSEs) at the district level, and serve as an aid to revenue mobilization. Beta testing and the agile iterative method were employed during modules testing and with a backend relational database to store client’s information. RUMSEG was tested at the Business Advisory Centres (BACs) of Asuogyaman and Atwima Nwabeagya District Assemblies in Ghana. Aided by the Enterprise Monitoring Diary (EMD), RUMSEG produced differences in clients’ growth performances in the context of turning actual cost of training by stakeholders into actual outputs of skills, abilities and competencies. Keywords: growth performances, trade categories, stakeholders, RUMSEG, District Assemblies (DAs)

Prevalence of Hypertension in the Middle Belt of Ghana: A Community-Based Screening Study.

OBJECTIVE: Prevalence of hypertension is on the rise and can be attributed to aging populations and changing behavioral or lifestyle risk factors. The objectives of this study were to determine the prevalence, awareness, treatment, control, and risk factors of hypertension in the middle part of Ghana. METHODS: A total of 2,555 participants aged ≥18 years (mean age of 43 years; 60.5% female) were enrolled using a two-stage sampling method. The World Health Organization STEPwise approach to chronic disease risk factor Surveillance-Instrument v2.1 was used for data collection. Blood pressure and anthropometric measurements were assessed. Blood glucose and lipids were also measured using blood samples collected after an overnight fast. RESULTS: Prevalence of hypertension was 28.1% (95% CI: 26.3%-29.8%). Less than half, i.e., 45.9% (95% CI: 42.2%-49.6%), of the respondents were aware of their hypertensive status. Of those aware and had sought medical treatment, 41.3% (95% CI: 36.1-46.8) had their hypertension controlled. Risk factors associated with being hypertensive were current (p=0.053) and past tobacco usage (p < 0.001), prediabetes (p=0.042), high body mass index (p < 0.001), hyperglycaemia (p=0.083), and hypercholesterolaemia (p=0.010). Doing vigorous work and being active in sports were less associated with being hypertensive (p < 0.001). CONCLUSION: Our study showed that close to one-quarter of adults who were involved in the survey in the middle belt of Ghana were hypertensive with less than half being aware of their hypertensive status; nearly half of those on treatment had controlled hypertension. Healthcare systems need adequate resources that enable them to screen, educate, and refer identified hypertensive patients for appropriate management to prevent or minimize the development of hypertension-related complications

Evaluation of Tree-Based Ensemble Machine Learning Models in Predicting Stock Price Direction of Movement

Forecasting the direction and trend of stock price is an important task which helps investors to make prudent financial decisions in the stock market. Investment in the stock market has a big risk associated with it. Minimizing prediction error reduces the investment risk. Machine learning (ML) models typically perform better than statistical and econometric models. Also, ensemble ML models have been shown in the literature to be able to produce superior performance than single ML models. In this work, we compare the effectiveness of tree-based ensemble ML models (Random Forest (RF), XGBoost Classifier (XG), Bagging Classifier (BC), AdaBoost Classifier (Ada), Extra Trees Classifier (ET), and Voting Classifier (VC)) in forecasting the direction of stock price movement. Eight different stock data from three stock exchanges (NYSE, NASDAQ, and NSE) are randomly collected and used for the study. Each data set is split into training and test set. Ten-fold cross validation accuracy is used to evaluate the ML models on the training set. In addition, the ML models are evaluated on the test set using accuracy, precision, recall, F1-score, specificity, and area under receiver operating characteristics curve (AUC-ROC). Kendall W test of concordance is used to rank the performance of the tree-based ML algorithms. For the training set, the AdaBoost model performed better than the rest of the models. For the test set, accuracy, precision, F1-score, and AUC metrics generated results significant to rank the models, and the Extra Trees classifier outperformed the other models in all the rankings

Cohered emergent theory for designing and implementing multinational mining sustainability practices in Ghana

This chapter applies cohered emergent theory to explain how multinational mining corporations operating in Africa can design and implement their sustainability practices to equalize the economic, environmental and social dimensions of sustainability. We used thematic analysis to analyze the interview data from 16 diverse stakeholders of a multinational mining company case in Ghana. The findings suggest that the company’s economic, environmental and social sustainability practices were designed and implemented as a social inclusivity process that revolved around rational planning and power, critique from ‘less powerful’ stakeholders and emergent events, and regular adjustments to senior managers’ planned actions. These design and implementation processes will help senior managers to manage business activities ethically and mitigate potential sustainability implementation risks that can damage organizational reputation, harm community welfare and destroy the environment. The study also has implications for governments and policy think tanks of developing countries to rectify corporate sustainability policies that can foster fair allocation of royalties and taxes from multinational mining companies to the mining communities and to reduce rural poverty. The outcome of the study manifests the theoretical value of the cohered emergent discipline in practice

Volume warrants for major and minor roads left-turning traffic lanes at unsignalized T-intersections: A case study using VISSIM modelling

The most common type of intersection improvement considered in Ghana is signalization. However, other actions such as the installation of left-turn lanes have been proven to improve the efficiency and safety of an intersection without the need for signalization in the short term. Warrants which guide the installation of such lanes in Ghana are adopted from elsewhere and as a result do not reflect local traffic flow conditions. This study established volume warrants based on a delay threshold to guide the installation of left-turn lanes at unsignalized T-intersections using VISSIM micro simulation tool. The VISSIM model was calibrated using traffic flow, delay, average and maximum queue length data obtained from a two-hour video recording of the case study intersection during the morning peak period. After calibration, several scenarios covering a wide range of operational conditions were simulated. Using level of service (LOS) C cut off point of 25 s/veh as the maximum acceptable delay to minor road left-turning traffic, an equation y = −0.57x +1091 has been developed which predicts the minor road left-turn volume threshold (y) above which a minor road left-turn lane may be considered and below which a minor road left-turn lane may not be necessary for a range of major road volumes (x). The critical delay to major road left-turning traffic was found to be 16 s/veh. Major road left-turn lane volume warrants were also determined based on this threshold delay value. The approach used in this study can serve as a guide that can be used by metropolitan and municipal road engineers to assess the need for left-turn lanes. Keywords: Unsignalized T-intersection, Left-turn, Warrants, Delay, Micro simulation, VISSI

Subcellular distribution and characterization of glucosephosphate isomerase in Leishmania mexicana mexicana

The glycolytic enzyme glucosephosphate isomerase (PGI) is present in two different cell compartments of Leishmania mexicana promastigotes; more than 90% of the activity was detected in the cytosol, the remainder in glycosomes. This subcellular distribution contrasts with that in Trypanosoma brucei, in which the enzyme activity has been mainly located in the glycosomes. PGI was partially purified from L. mexicana cell extracts. Throughout the purification procedure only one single PGI activity could be detected. The partially purified protein had the same subunit molecular mass (65 kDa) as the previously characterized glycosomal protein of T. brucei. Both proteins were also very similar with respect to their kinetic and antigenic properties. Using the T. brucei glycosomal PGI gene as a hybridization probe, we cloned the corresponding gene of L. mexicana. Only a single PGI locus could be detected in the L. mexicana genome. Characterization of the cloned gene showed that it codes for a polypeptide of 604 amino acids, with a molecular mass of 67,113. The sequences of the Leishmania and Trypanosoma polypeptides are 69% identical. They differ in calculated net charge (-8 versus -2, respectively) and isoelectric point (6.65 versus 7.35). Our data strongly suggest that the PGI activity in the two cell compartments of L. mexicana and T. brucei is not attributable to different isoenzymes. We discuss the possible metabolic function of the highly different enzyme distribution in the two organisms, and the molecular mechanism that could be responsible for it

Presence of the LDNF glycan on the host-protective H-gal-GP fraction from Haemonchus contortus

Immunization of sheep with the gut membrane-associated protein complex H-gal-GP of adult Haemonchus contortus induces high levels of protection against a homologous challenge infection. Protection is correlated with a systemic IgG response against the antigen. Analysis of the antibody response showed that the majority of the antigen-specific IgG was of the IgG2 isotype. A substantial proportion (74%) of this response was directed against the glycan component of H-gal-GP. The high immunogenicity of the H-gal-GP glycans may be due to the presence of the fucosylated LacdiNAc (LDNF) antigen. 2D electrophoresis, Western blotting and mass spectrometry analysis of H-gal-GP showed that this glycan epitope was specifically located on a metalloendopeptidase, MEP3. MEP3 is the most abundant protein in H-gal-GP and has been identified as one of the most likely protective components of the complex. Here, we present evidence that the LDNF glycan does not contribute to the protective capacity of H-gal-GP. Animals vaccinated with reduced and denatured H-gal-GP are not protected against subsequent infection, although the antibody response against the LDNF glycan is very similar to that of animals vaccinated with the native H-gal-GP. In addition, an alternative version of H-gal-GP, H-sialgal-GP, which is equally protective, but isolated by affinity chromatography on jacalin lectin rather than peanut lectin, contains a MEP3 component which has no detectable LDNF glycan

Stakeholder perspectives on adapting and disseminating Ghana's physical activity guidelines: a qualitative study.

BACKGROUND: Ghana is facing the public health "double burden" of both communicable and chronic diseases. To combat increased chronic disease prevalence, physical activity promotion efforts are necessary. The Ministry of Health (MOH) developed physical activity guidelines in 2009, but community members are unaware of the guidelines and sample activities (e.g., ballroom dancing) are not culturally appropriate. The purposes of this study were to investigate 1) dissemination of the physical activity guidelines through MOH and Ghana Health Service (GHS) and 2) culturally appropriate physical activities. METHODS: Data were collected in urban and rural areas of Ghana through focus groups (N = 2) with community representatives and in-depth interviews (N = 15) with GHS health workers. Focus group and interview questions included recommended types of physical activity; interview questions included dissemination factors based on Diffusion of Innovations. The research team analyzed the data through an inductive, grounded theory approach. RESULTS: Together, the focus groups and in-depth interviews generated 942 meaning units coded into themes of Physical Activity Perceptions (N = 337 meaning units), Suggested Physical Activities (N = 317), and Dissemination and Implementation Factors (N = 290). Participants had positive perceptions of physical activity but expressed concerns over individual abilities; barriers included the built environment and a lack of time. Suggested physical activities included walking, jogging, football, and dancing for adults; traditional games and football for youth, and walking and daily chores for older adults. Participants noted that guideline implementation was influenced by leadership engagement at multiple levels, relative advantage, and compatibility. Respondents suggested implementation strategies to resolve barriers, including involving partner organizations and developing an implementation plan. Participants were largely unaware of the physical activity guidelines; typical dissemination methods included written materials and the internet. CONCLUSIONS: The results of this study suggest that physical activity guidelines should include familiar physical activities such as traditional games. Results also suggest that public health workers within GHS experience challenges in disseminating the physical activity guidelines. Adapting, disseminating, and implementing physical activity guidelines is a necessary step in increasing physical activity levels and preventing chronic diseases. These results contribute to understanding translation of physical activity policy to practice

Vaccination-induced protection of lambs against the parasitic nematode Haemonchus contortus correlates with high IgG antibody responses to the LDNF glycan antigen.

Lambs respond to vaccination against bacteria and viruses but have a poor immunological response to nematodes. Here we report that they are protected against the parasitic nematode Haemonchus contortus after vaccination with excretory/secretory (ES) glycoproteins using Alhydrogel as an adjuvant. Lambs immunized with ES in Alhydrogel and challenged with 300 L3 larvae/kg body weight had a reduction in cumulative egg output of 89% and an increased percentage protection of 54% compared with the adjuvant control group. Compared to the adjuvant dimethyl dioctadecyl ammonium bromide, Alhydrogel induced earlier onset and significantly higher ES- specific IgG, IgA, and IgE antibody responses. In all vaccinated groups a substantial proportion of the antibody response was directed against glycan epitopes, irrespective of the adjuvant used. In lambs vaccinated with ES in Alhydrogel but not in any other group a significant increase was found in antibody levels against the GalNAcbeta1,4 (Fucalpha1,3)GlcNAc (fucosylated LacdiNAc, LDNF) antigen, a carbohydrate antigen that is also involved in the host defense against the human parasite Schistosoma mansoni. In lambs the LDNF-specific response increased from the first immunization onward and was significantly higher in protected lambs. In addition, an isotype switch from LDNF-specific IgM to IgG was induced that correlated with protection. These data demonstrate that hyporesponsiveness of lambs to H. contortus can be overcome by vaccination with ES glycoproteins in a strong T-helper 2 type response-inducing aluminum adjuvant. This combination generated high and specific antiglycan antibody responses that may contribute to the vaccination-induced protection