Extended critical success factor model for management of multiple projects : an empirical view from Transnet in South Africa

Transnet Freight Rail in South Africa has faced projects delays in its multi-project environment. This study takes South Africa as representative of developing countries, and develops the Critical Success Factors (CSFs) model for multiple projects success, with the goal of expanding the conventional model by adding the demographic characteristics of the business units involved in the multiple projects. The empirical results showing the greatest number of success factors are people-related, with the focus on team selection and team commitment. Two demographic characteristics are of importance when managing multiple projects: the size of the business unit, and the employees’ project experience.Transnet, ‘n spoorvragentiteit in Suid-Afrika, ondervind gereeld projekvertragings in hul multi-projekomgewing. Suid-Afrika, as ‘n voorbeeld van ontwikkelende lande, word in die studie gebruik en hierdie studie ontwikkel ‘n reeks suksesfaktore vir ‘n multi-projek-omgewing deur ‘n bestaande konvensionele model aan te pas om ook die demografiese eienskappe van die verskillende besigheidseenhede betrokke in die organisasie te inkorpo-reer. Die resultaat van die studie wys dat die grootste aantal suksesfaktore mens-geörienteerd is, met die fokus op die samestelling en toewyding van die betrokke projekspanne. Twee demografiese eienskape is belangrik by die bestuur van multi-projekte, naamlik die grootte van die besigheidseenheid asook projekondervinding van die werknemers.http://www.journals.co.za/ej/ejour_indeng.htm

Repositioning of the global epicentre of non-optimal cholesterol

High blood cholesterol is typically considered a feature of wealthy western countries1,2. However, dietary and behavioural determinants of blood cholesterol are changing rapidly throughout the world3 and countries are using lipid-lowering medications at varying rates. These changes can have distinct effects on the levels of high-density lipoprotein (HDL) cholesterol and non-HDL cholesterol, which have different effects on human health4,5. However, the trends of HDL and non-HDL cholesterol levels over time have not been previously reported in a global analysis. Here we pooled 1,127 population-based studies that measured blood lipids in 102.6 million individuals aged 18 years and older to estimate trends from 1980 to 2018 in mean total, non-HDL and HDL cholesterol levels for 200 countries. Globally, there was little change in total or non-HDL cholesterol from 1980 to 2018. This was a net effect of increases in low- and middle-income countries, especially in east and southeast Asia, and decreases in high-income western countries, especially those in northwestern Europe, and in central and eastern Europe. As a result, countries with the highest level of non-HDL cholesterol—which is a marker of cardiovascular risk—changed from those in western Europe such as Belgium, Finland, Greenland, Iceland, Norway, Sweden, Switzerland and Malta in 1980 to those in Asia and the Pacific, such as Tokelau, Malaysia, The Philippines and Thailand. In 2017, high non-HDL cholesterol was responsible for an estimated 3.9 million (95% credible interval 3.7 million–4.2 million) worldwide deaths, half of which occurred in east, southeast and south Asia. The global repositioning of lipid-related risk, with non-optimal cholesterol shifting from a distinct feature of high-income countries in northwestern Europe, north America and Australasia to one that affects countries in east and southeast Asia and Oceania should motivate the use of population-based policies and personal interventions to improve nutrition and enhance access to treatment throughout the world.</p

Repositioning of the global epicentre of non-optimal cholesterol

High blood cholesterol is typically considered a feature of wealthy western countries1,2. However, dietary and behavioural determinants of blood cholesterol are changing rapidly throughout the world3 and countries are using lipid-lowering medications at varying rates. These changes can have distinct effects on the levels of high-density lipoprotein (HDL) cholesterol and non-HDL cholesterol, which have different effects on human health4,5. However, the trends of HDL and non-HDL cholesterol levels over time have not been previously reported in a global analysis. Here we pooled 1,127 population-based studies that measured blood lipids in 102.6 million individuals aged 18 years and older to estimate trends from 1980 to 2018 in mean total, non-HDL and HDL cholesterol levels for 200 countries. Globally, there was little change in total or non-HDL cholesterol from 1980 to 2018. This was a net effect of increases in low- and middle-income countries, especially in east and southeast Asia, and decreases in high-income western countries, especially those in northwestern Europe, and in central and eastern Europe. As a result, countries with the highest level of non-HDL cholesterol�which is a marker of cardiovascular risk�changed from those in western Europe such as Belgium, Finland, Greenland, Iceland, Norway, Sweden, Switzerland and Malta in 1980 to those in Asia and the Pacific, such as Tokelau, Malaysia, The Philippines and Thailand. In 2017, high non-HDL cholesterol was responsible for an estimated 3.9 million (95 credible interval 3.7 million�4.2 million) worldwide deaths, half of which occurred in east, southeast and south Asia. The global repositioning of lipid-related risk, with non-optimal cholesterol shifting from a distinct feature of high-income countries in northwestern Europe, north America and Australasia to one that affects countries in east and southeast Asia and Oceania should motivate the use of population-based policies and personal interventions to improve nutrition and enhance access to treatment throughout the world. © 2020, The Author(s), under exclusive licence to Springer Nature Limited

Avaliacao de cultivares de bananeira na regiao do submedio Sao Francisco. I. Primeiro ciclo de producao.

Objetivando avaliar cultivares de bananeiras na região do Submédio São Francisco, foram Introduzidos 21 acessos, entre cultivares adequadas à industrialização, para consumo "in natura" e para fritar. O campo foi implantado sem delineamento experimental, no espaçamento em fileira dupla, de 5 x 2 x 2m, utilizando três famílias por acesso. Foram observados os seguintes parâmetros: 1) altura da planta na colheita; 2) ciclo vegetativo; 3) número de pencas por cacho; 4)peso de penca; 5) número de frutos por penca. Considerando as avaliações efetuadas no primeiro ciclo de produção destacam-se as introduções 'Nanica', 'Nanicão', 'Great Naine', 'Robusta', 'Lacatan', do subgrupo Cavendish; 'Figo Cinza' do subgrupo Figo; "Ierrlnha' do subgrupo Plaintain ou Terra; e 'Prata Anã' do subgrupo Prata.Made available in DSpace on 2018-04-25T00:32:39Z (GMT). No. of bitstreams: 1 RevistaBrasileiradeFruticulturav.15n.1p.2125.pdf: 3159422 bytes, checksum: cb4d09d46306f7eb34ac331ef2e5c352 (MD5) Previous issue date: 1996-07-17bitstream/item/175923/1/Revista-Brasileira-de-Fruticultura-v.15n.1p.21-25.pd

Electrical Impedance tomography

Electrical Impedance Tomography (EIT) is the recovery of the conductivity (or conductivity and permittivity) of the interior ofa body from a knowledge of currents and voltages applied to its surface

Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight

From 1985 to 2016, the prevalence of underweight decreased, and that of obesity and severe obesity increased, in most regions, with significant variation in the magnitude of these changes across regions. We investigated how much change in mean body mass index (BMI) explains changes in the prevalence of underweight, obesity, and severe obesity in different regions using data from 2896 population-based studies with 187 million participants. Changes in the prevalence of underweight and total obesity, and to a lesser extent severe obesity, are largely driven by shifts in the distribution of BMI, with smaller contributions from changes in the shape of the distribution. In East and Southeast Asia and sub-Saharan Africa, the underweight tail of the BMI distribution was left behind as the distribution shifted. There is a need for policies that address all forms of malnutrition by making healthy foods accessible and affordable, while restricting unhealthy foods through fiscal and regulatory restrictions. © Copyright