Design of an inhalable aerosol size spectrometer

2015 Spring.Includes bibliographical references.Industrial hygienists lack the proper instruments to measure size distributions of inhalable particulate matter (0-100 μm) as defined by ACGIH/ISO/CEN. The Portable Inhalable Particle Spectrometer (PIPS) was designed to size-segregate IPM in calm-air environments – which constitute a majority of workplaces. The PIPS uses an upward air velocity to restrict particle aspiration into the device to diameters above a specified cut-size. A vertical test chamber was also designed to facilitate aerosol dispersion and experimental evaluation of the PIPS. Two PIPS tubes were tested (1.5 cm and 5 cm) at four face velocities (0.6, 1.35, 2.5 and 3.5 cm·s⁻¹) that correspond to cut-sizes of 20, 30, 40 and 50 μm in aerodynamic diameter, respectively. The observed performance of the PIPS deviated from model estimates as face velocity or tube diameter was increased. The fluid regime present inside the chamber, due to the operating PIPS, likely influenced the measured sampling efficiency of the PIPS

An Exploratory study of franchising as a small and medium enterprises development strategy in Kenya

Submitted in partial fulfilment of the requirements of the Degree of Masters of Business AdministrationThe study provides an exploratory insight into the factors that globally influence the development of franchising but more specifically, the study explores the determinants of successful franchising development among Small and Medium Enterprises both at the global level and in Kenya. The determinants were organized along four (4) key themes: External environmental specific determinants such as political, legal and economic factors and internal environmental specific factors such as motivation, strategic choice and firm level capabilities. Due to the nascent nature of franchising in Kenya among local enterprises, the study adopted a purposive sampling which entailed selecting indigenous SME business owners that had adopted franchising as business expansion strategy as well as key informants that were conversant with franchising. Primary data was collected by means of questionnaires which were both open and close ended with secondary data being gathered by way of reviewing documents and other report on the businesses that were being studied. The data collected was analysed using case study descriptions as an analytic strategy with the 2 cases being cross-synthesized with the aim of trying to match any existing patters between the 2 businesses. The findings of the study suggest that the Kenyan political environment which is closely related to the legal environment does determine the development of franchising and so does the state of the economy in the country. The motivation of the entrepreneur to choose franchising to grow their business as well as the expansion strategy that they use to achieve the same both have a bearing on the success of their enterprise. The study also shows that there are certain capabilities that need to be developed within the firm in order to succeed in franchising. The study recommends that the government improves the legal environment as regards intellectual property protection and commercial disputes resolution mechanisms in order to encourage franchising. At the firm level, business owners are advised to test their business models until they are confident enough of successfully replicating the same through franchising in order to increase the chances of survival

Musoni Microfinance Kenya : IT-enabled business model

Musoni Kenya is a Kenyan microfinance institution (MFI) whose idea was conceived in The Netherlands. The Musoni business model is ICT-enabled, 100 percent mobile based, virtually paperless, and runs on an ICT platform housed in Musoni BV in Amsterdam, The Netherlands. It is built on tested mobile technology that allows huge savings on transaction and operating costs. Using mobile payments, clients receive and perform bank operations anytime anywhere. This saves transport costs, transaction time and increases safety as no cash has to be carried around sometimes in dangerous areas. The mobile payments enable clients to make large improvements in loan officer efficiency and makes tracing payments seamless, saving on administration costs. The Musoni branches are also inexpensive as they are only used as the point of contact with customers hence reducing the cost of setting up operations even in remote areas. These efficiencies are passed on to clients in the form of lower interest rates and to stakeholders in the form of good returns on investments. The company aims to use this knowledge, experience and global ICT platform to expand to other countries with a suitable mobile payments environment

Maternal and neonatal outcomes after caesarean delivery in the African Surgical Outcomes Study: a 7-day prospective observational cohort study.

BACKGROUND: Maternal and neonatal mortality is high in Africa, but few large, prospective studies have been done to investigate the risk factors associated with these poor maternal and neonatal outcomes. METHODS: A 7-day, international, prospective, observational cohort study was done in patients having caesarean delivery in 183 hospitals across 22 countries in Africa. The inclusion criteria were all consecutive patients (aged ≥18 years) admitted to participating centres having elective and non-elective caesarean delivery during the 7-day study cohort period. To ensure a representative sample, each hospital had to provide data for 90% of the eligible patients during the recruitment week. The primary outcome was in-hospital maternal mortality and complications, which were assessed by local investigators. The study was registered on the South African National Health Research Database, number KZ_2015RP7_22, and on ClinicalTrials.gov, number NCT03044899. FINDINGS: Between February, 2016, and May, 2016, 3792 patients were recruited from hospitals across Africa. 3685 were included in the postoperative complications analysis (107 missing data) and 3684 were included in the maternal mortality analysis (108 missing data). These hospitals had a combined number of specialist surgeons, obstetricians, and anaesthetists totalling 0·7 per 100 000 population (IQR 0·2-2·0). Maternal mortality was 20 (0·5%) of 3684 patients (95% CI 0·3-0·8). Complications occurred in 633 (17·4%) of 3636 mothers (16·2-18·6), which were predominantly severe intraoperative and postoperative bleeding (136 [3·8%] of 3612 mothers). Maternal mortality was independently associated with a preoperative presentation of placenta praevia, placental abruption, ruptured uterus, antepartum haemorrhage (odds ratio 4·47 [95% CI 1·46-13·65]), and perioperative severe obstetric haemorrhage (5·87 [1·99-17·34]) or anaesthesia complications (11·47 (1·20-109·20]). Neonatal mortality was 153 (4·4%) of 3506 infants (95% CI 3·7-5·0). INTERPRETATION: Maternal mortality after caesarean delivery in Africa is 50 times higher than that of high-income countries and is driven by peripartum haemorrhage and anaesthesia complications. Neonatal mortality is double the global average. Early identification and appropriate management of mothers at risk of peripartum haemorrhage might improve maternal and neonatal outcomes in Africa. FUNDING: Medical Research Council of South Africa.Medical Research Council of South Africa

The ASOS Surgical Risk Calculator: development and validation of a tool for identifying African surgical patients at risk of severe postoperative complications

Background: The African Surgical Outcomes Study (ASOS) showed that surgical patients in Africa have a mortality twice the global average. Existing risk assessment tools are not valid for use in this population because the pattern of risk for poor outcomes differs from high-income countries. The objective of this study was to derive and validate a simple, preoperative risk stratification tool to identify African surgical patients at risk for in-hospital postoperative mortality and severe complications. Methods: ASOS was a 7-day prospective cohort study of adult patients undergoing surgery in Africa. The ASOS Surgical Risk Calculator was constructed with a multivariable logistic regression model for the outcome of in-hospital mortality and severe postoperative complications. The following preoperative risk factors were entered into the model; age, sex, smoking status, ASA physical status, preoperative chronic comorbid conditions, indication for surgery, urgency, severity, and type of surgery. Results: The model was derived from 8799 patients from 168 African hospitals. The composite outcome of severe postoperative complications and death occurred in 423/8799 (4.8%) patients. The ASOS Surgical Risk Calculator includes the following risk factors: age, ASA physical status, indication for surgery, urgency, severity, and type of surgery. The model showed good discrimination with an area under the receiver operating characteristic curve of 0.805 and good calibration with c-statistic corrected for optimism of 0.784. Conclusions: This simple preoperative risk calculator could be used to identify high-risk surgical patients in African hospitals and facilitate increased postoperative surveillance. © 2018 British Journal of Anaesthesia. Published by Elsevier Ltd. All rights reserved.Medical Research Council of South Africa gran