Praziquantel coverage in schools and communities targeted for the elimination of urogenital schistosomiasis in Zanzibar: a cross-sectional survey

© 2015 Knopp et al. Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. The attached file is the published version of the article

Comparative effects of autotrophic and heterotrophic growth on some vitamins, 2,2-diphenyl-1-picrylhydrazyl (DPPH) free radical scavenging activity, amino acids and protein profile of Chlorella vulgaris Beijerinck

Chemical composition of Chlorella vulgaris Beijerinck including content of some vitamins (A, E and C), 2,2-diphenyl-1-picrylhydrazyl (DPPH) free radical scavenging activity, amino acids and protein profile was assessed under autotrophic and heterotrophic growth conditions as an indication of its nutritional value. Vitamin content (A, E and C) of heterotrophic cells increased by about 29, 52 and 20, respectively, as compared to its value for autotrophic cells. The free radical scavenging activity (RSA) was significantly higher for autotrophic cells than heterotrophic only at low concentrations (25 and 50 μl) of algal extract, but no significant difference was recorded at high concentration (100 μl). This result indicates non parallel relationship between the tested vitamins and RSA which suggest that other nonenzymatic antioxidants and/or antioxidant enzymes are involved. Concentration of essential and non essential amino acids in heterotrophic cells was double and 1.5 times, respectively its concentration in autotrophic cells. Histidine, lysine and phenylalanine constituted 77 and 44% of the total content of essential amino acids in heterotrophic and autotrophic cells, respectively. Methionine concentration was low in both types of cells. Proline content and non essential amino acid in heterotrophic cells was about 2.5 times its corresponding value in autotrophic cells. SDS-PAGE of protein extracts of autotrophic and heterotrophic C. vulgaris revealed two protein bands of molecular weight of ~75 and ~39 KDa. Higher intensity of the two bands was observed for autotrophic cells which may be associated with the effect of growth condition on the expression of regulatory genes. For valuable production of natural food supplement and/or natural pharmaceutical products, using heterotrophic cells rather than autotrophic cells for its richness in vitamins and essential amino acids is recommended.Key words: Autotrophic, heterotrophic, Chlorella vulgaris, vitamins, 2,2-diphenyl-1-picrylhydrazyl (DPPH) free radical scavenging activity, amino acid, protein profile

Multiple syringocystadenoma papilliferum arising from an extensive nevus sebaceous of Jadassohn: Case Report

We present an extensive nevus sebaceous of Jadassohn which was present at birth and had a rapid growth  during puberty. Multiple nodules of syringocystadenoma papilliferum developed on the plaque of nevus  sebaceous. The extensive nature of nevus sebaceous and numerous benign tumours is a therapeutic challenge  on the face. Currently there is no adequate evidence to support prophylactic excision of nevus sebaceous of Jadassohn, especially in people with skin of colo

Caecal herniation through the foramen of Winslow

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Barriers to big data analytics in manufacturing supply chains: A case study from Bangladesh

© 2018 Elsevier Ltd Recently, big data (BD) has attracted researchers and practitioners due to its potential usefulness in decision-making processes. Big data analytics (BDA) is becoming increasingly popular among manufacturing companies as it helps gain insights and make decisions based on BD. However, there many barriers to the adoption of BDA in manufacturing supply chains. It is therefore necessary for manufacturing companies to identify and examine the nature of each barrier. Previous studies have mostly built conceptual frameworks for BDA in a given situation and have ignored examining the nature of the barriers to BDA. Due to the significance of both BD and BDA, this research aims to identify and examine the critical barriers to the adoption of BDA in manufacturing supply chains in the context of Bangladesh. This research explores the existing body of knowledge by examining these barriers using a Delphi-based analytic hierarchy process (AHP). Data were obtained from five Bangladeshi manufacturing companies. The findings of this research are as follows: (i) data-related barriers are most important, (ii) technology-related barriers are second, and (iii) the five most important components of these barriers are (a) lack of infrastructure, (b) complexity of data integration, (c) data privacy, (d) lack of availability of BDA tools and (e) high cost of investment. The findings can assist industrial managers to understand the actual nature of the barriers and potential benefits of using BDA and to make policy regarding BDA adoption in manufacturing supply chains. A sensitivity analysis was carried out to justify the robustness of the barrier rankings

Modeling the interrelationships among barriers to sustainable supply chain management in leather industry

© 2018 Elsevier Ltd The leather industry of Bangladesh is facing considerable amounts of pressure to adopt sustainable supply chain management (SSCM). While there are some studies that have examined barriers to SSCM practices in developed and developing countries in various domains, these are not necessarily applicable to the Bangladeshi leather industry. To bridge this gap, it is crucial to identify most influential barriers to SSCM practices, particularly in the context of developing economies. Therefore, this study identifies such barriers and examines the causal relationships between them with an aim to facilitate the effective implementation of SSCM in the Bangladeshi leather processing industry. Thirty-five barriers to SSCM implementation were identified through a detailed literature review and a survey of leather processing industry experts. Among them, the most common 20 barriers were selected with the help of industry experts. Then, a blended, grey-based Decision Making Trial and Evaluation Laboratory (DEMATEL) approach was utilized to examine their interrelationships. The results demonstrate that nine barriers could be classified as “causal” and eleven as “influenced”. ‘Lack of awareness of local customers in green products’ and ‘lack of commitment from top management’ took high priority in the causal group. ‘Lack of reverse logistics practices’ and ‘Outdated machineries’ were the most influenced barriers. This research uses a leather processing company as a case study for demonstrating the proposed model. The findings aim to support the leather processing industry in a structural way, so that industrial managers can identify the most influential barriers and work to eliminate them. This study may be useful to stakeholders to achieve sustainable development

A grey approach to predicting healthcare performance

© 2018 Elsevier Ltd The success of an organization or a particular activity is evaluated through the measurement of key performance indicators (KPIs). The aim of this paper is to analyze and predict the indicators of healthcare performance using grey systems theory. Recent advancements in science and technology have made the healthcare industry extremely efficient at collecting data using electronic claims systems such as electronic health records. Therefore, collecting field level primary data becomes easier and accumulate them to generate secondary data for research purpose and to get an insight of the organization performance is absolutely necessary. Our research analyzes the KPIs of a hospital based on a secondary data source. Since, secondary data contains uncertainty and sometimes poor information, grey prediction model suits best to make a prediction model in this regard. Conventional grey model has considerable drawbacks while making a rigorous prediction model. For this, we apply an improved grey prediction model to predict the KPIs of the healthcare performance indicators. Several error measures in our model give a best fit of the data and allow prediction of the KPIs. The prediction model gives good estimates of the quantitative indicators and produced error rate within an acceptable range. We observe that the KPIs of bed turnover rate (BTR) and bed occupancy rate (BOR) have an increasing trend, whereas the KPIs of average length of stay (ALOS), hospital death rate (HDR) and hospital infection rate (HIR) show a decreasing trend over time. The main contribution of this research is a grey-based prediction model that can provide managers with the information they need to evaluate and predict the performance of a hospital. The research indicates that managers should give greater priority to the indicators which will result in better patients’ satisfaction and improved profit margin. Healthcare managers striving towards better performance will now have an empirical basis upon which to formulate and adjust their strategies, after analyzing the predicted value

Correlation between the RhD genotyping and RhD serotyping in isoimmunized pregnancies

Alloimmunisation was one of the most important causes of perinatal mortality and morbidity by the middle of the last century. The objective of the present study was to investigate the presence of the RHD gene in fetal cells (amniocytes) obtained from amniotic fluid by genotyping to compare it with the RhD serotyping. Also to correlate the presence of RhD gene with the neonatal outcome. This work was carried out at Maternity hospital and Medical Genetics center, while PCR testing was done at the Medical Research center, Faculty of Medicine, Ain Shams University in the period from 2008 to 2010. The present study included recruiting of 20 RhD negative (sensitized to the RhD antigen) pregnant mothers. The entire study group was subjected to complete general, obstetric and a detailed obstetric ultrasonographic examination. Rh typing and indirect Coomb’s test were also done. Amniocentesis was performed with a 20-gauge needle under continuous ultrasound guidance. RhD serotyping of the fetuses showed that, 14 fetuses (70%) were positive and six fetuses (30%) were negative. While using RhD gentyping 13 cases (65%) were positive and seven cases (35%) were negative (P value = 0.002). Among fetuses positive for RhD genotyping six fetuses (46%) had received postnatal treatment, while among fetuses negative for RhD genotyping, neither of them had received postnatal treatment (P value =0.032), which is statistically significant. From the present study we can conclude that, the identification of an antigen-negative fetus on the basis of the blood group genotype provides significant advantages in managing the pregnancy at risk for HDFN.Keywords: Maternal alloimmunization; Rhesus; RHD; Isoimmunization; Hydrops fetalis; Fetus; Rh negativ