Cargo dwell time in Durban : lessons for Sub-Saharan African ports

Based on quantitative and qualitative data, this paper attempts to identify the main reasons why cargo dwell time in Durban port has dramatically reduced in the past decade to a current average of 3-4 days. A major customs reform; changes in port storage tariffs coupled with strict enforcement; massive investments in infrastructure and equipment; and changing customer behavior through contractualization between the port operator and shipping lines or between customs, importers, and brokers have all played a major role. The main lesson for Sub-Saharan Africa that can be drawn from Durban is that cargo dwell time is mainly a function of the characteristics of the private sector, but it is the onus of public sector players, such as customs and the port authority, to put pressure on the private sector to make more efficient use of the port and reduce cargo dwell time.Transport Economics Policy&Planning,Transport and Trade Logistics,Common Carriers Industry,Ports&Waterways,Airports and Air Services

TransNets: Learning to Transform for Recommendation

Recently, deep learning methods have been shown to improve the performance of recommender systems over traditional methods, especially when review text is available. For example, a recent model, DeepCoNN, uses neural nets to learn one latent representation for the text of all reviews written by a target user, and a second latent representation for the text of all reviews for a target item, and then combines these latent representations to obtain state-of-the-art performance on recommendation tasks. We show that (unsurprisingly) much of the predictive value of review text comes from reviews of the target user for the target item. We then introduce a way in which this information can be used in recommendation, even when the target user's review for the target item is not available. Our model, called TransNets, extends the DeepCoNN model by introducing an additional latent layer representing the target user-target item pair. We then regularize this layer, at training time, to be similar to another latent representation of the target user's review of the target item. We show that TransNets and extensions of it improve substantially over the previous state-of-the-art.Comment: Accepted for publication in the 11th ACM Conference on Recommender Systems (RecSys 2017

Epidemiology of Cryptococcosis and Cryptococcal Meningitis in a large retrospective cohort of patients after solid organ transplantation

Abstract Background Cryptococcosis is the third most common invasive fungal infection in solid organ transplant (SOT) recipients. There are no nationally representative data describing the incidence, risk factors, and outcomes of cryptococcosis after SOT. Methods We assembled a large cohort of adult SOT recipients using Classification of Diseases, Ninth Revision, Clinical Modification billing data from Healthcare Cost and Utilization Project State Inpatient Databases of Florida (2006–2012), New York (2006–2011), and California (2004–2010). Demographics, comorbidities, death, and cryptococcal infections coded during hospitalization were identified. Results A total of 42634 adults with SOT were identified during the study period. Cryptococcal disease was identified in 0.37% (n = 158), 44% of which had meningitis (n = 69). Median time to diagnosis of cryptococcosis was 464 days (range, 4–2393). The median time to onset of cryptococcosis was earlier for lung (191 days; range, 7.5–1816), heart (195 days; range, 4–1061), and liver (200 days; range, 4–1581) compared with kidney transplant recipients (616 days; range, 12–2393; P &amp;lt; .001, log rank test). Very early-onset disease (&amp;lt;30 days after transplantation) more frequently occurred in liver and lung transplant recipients. Lung transplant recipients had the highest risk of cryptococcosis (hazard ratio [HR], 2.10; 95% confidence interval [CI], 1.21–3.60). Cryptococcosis was associated with death (HR, 2.29; 95% CI, 1.68–3.11), after adjusting for age, type of SOT, and other comorbidities. Conclusions Cryptococcosis is rare after SOT, but it is associated with significantly increased risk of death. Lung transplant recipients are at highest risk for cryptococcosis among SOTs. Nonkidney transplants have earlier onset of cryptococcosis and higher risk of death compared with kidney transplant recipients. </jats:sec

Transkingdom Networks: A Systems Biology Approach to Identify Causal Members of Host-Microbiota Interactions

Improvements in sequencing technologies and reduced experimental costs have resulted in a vast number of studies generating high-throughput data. Although the number of methods to analyze these "omics" data has also increased, computational complexity and lack of documentation hinder researchers from analyzing their high-throughput data to its true potential. In this chapter we detail our data-driven, transkingdom network (TransNet) analysis protocol to integrate and interrogate multi-omics data. This systems biology approach has allowed us to successfully identify important causal relationships between different taxonomic kingdoms (e.g. mammals and microbes) using diverse types of data

Treatment of Primary Pulmonary Aspergillosis: An Assessment of the Evidence.

Aspergillus spp. are a group of filamentous molds that were first described due to a perceived similarity to an aspergillum, or liturgical device used to sprinkle holy water, when viewed under a microscope. Although commonly inhaled due to their ubiquitous nature within the environment, an invasive fungal infection (IFI) is a rare outcome that is often reserved for those patients who are immunocompromised. Given the potential for significant morbidity and mortality within this patient population from IFI due to Aspergillus spp., along with the rise in the use of therapies that confer immunosuppression, there is an increasing need for appropriate initial clinical suspicion leading to accurate diagnosis and effective treatment. Voriconazole remains the first line agent for therapy; however, the use of polyenes, novel triazole agents, or voriconazole in combination with an echinocandin may also be utilized. Consideration as to which particular agent and for what duration should be made in the individual context for each patient based upon underlying immunosuppression, comorbidities, and overall tolerance of therapy

Analysing Wage Formation in the South African Labour Market: The Role of Bargaining Councils

The role of bargaining councils, the central pillar of collective bargaining in South Africa, in the formation of wages is important in the context of high unemployment rates in South Africa. In this study we find that while institutionalised collective bargaining system covered substantially more formal sector workers in 2005 (30 percent) compared to 1995 (15 percent), this still meant that less than a third of the formally employed were covered by bargaining councils. Notwithstanding this, the overall rise in the number of workers covered by bargaining council agreements between 1995 and 2005 was driven almost primarily by the introduction of public sector councils. Thus, bargaining council coverage in the first decade of democracy is characterised by an erosion of coverage within the private sector bargaining council system on the one hand and the rapid rise of this system of bargaining in the public sector. On the other hand the descriptive data and multivariate models show therefore a significant wage premium associated with coverage under public sector councils in 2005, in excess of the large and significant union wage premium. The decline in the bargaining council system in the private sector is accompanied by declining wage premia for formal sector workers covered under private sector bargaining council agreements, with our preferred specification in 2005 indicating no significant private sector bargaining council wage premium.South Africa: bargaining system, bargaining councils, private sector, formal sector