How Strong Is Public Support for the Death Penalty in Singapore?

Singapore is well known internationally for its uncompromising stance towards law and order and its use of the death penalty in particular for murder and drug trafficking. Until 2012, it was one of the few countries in the world where the death penalty was mandatory for persons convicted of these two crimes. The law was amended in 2012 to give a judge the choice to impose the death penalty or life imprisonment (with caning) for non-intentional murder and drug trafficking in some situations. What do Singaporeans think of the use of the death penalty in their own country? This article reports on some findings of a survey conducted in 2016 on 1500 Singaporeans to assess their knowledge and support of the death penalty.     

Identifying Fatal Head Injuries on Postmortem Computed Tomography Using Convolutional Neural Network/Deep Learning: A Feasibility Study

Postmortem computed tomography (PMCT) is a relatively recent advancement in forensic pathology practice that has been increasingly used as an ancillary investigation and screening tool. One area of clinical CT imaging that has garnered a lot of research interest recently is the area of “artificial intelligence” (AI), such as in screening and computer-assisted diagnostics. This feasibility study investigated the application of convolutional neural network, a form of deep learning AI, to PMCT head imaging in differentiating fatal head injury from controls. PMCT images of a transverse section of the head at the level of the frontal sinus from 25 cases of fatal head injury were combined with 25 nonhead-injury controls and divided into training and testing datasets. A convolutional neural network was constructed using Keras and was trained against the training data before being assessed against the testing dataset. The results of this study demonstrated an accuracy of between 70% and 92.5%, with difficulties in recognizing subarachnoid hemorrhage and in distinguishing congested vessels and prominent falx from head injury. These results are promising for potential applications as a screening tool or in computer-assisted diagnostics in the future.     

Real Estate Markets Are Informationally Efficient: Evidence from Buyer and Agent/Broker Surveys

This article presents new evidence based on unpublished buyer surveys and real estate agent and broker surveys supporting the consensus in the published literature that real estate markets are informationally efficient. This evidence is drawn from expert reports submitted in litigation involving claims that contamination caused property value diminution, and presents a new hedonic regression model of residential sales prices that includes as an independent variable the state of knowledge of the buyer regarding a contamination event. In this model the state of knowledge of the buyer has no statistically significant effect on the sales price. The article also discusses standards for the use of buyer and agent/broker surveys in litigation.     

Morocco and the United States: A lobbying opportunity

Morocco is going to have to become more adept at lobbying its interests in the US if the free trade area between the two countries has a chance of success.     

Reduce optimisation time and effort: Taguchi experimental design methods

Development and validation of new methods and technologies frequently require long periods of time and high costs to determine the optimal system. A commonly used approach to optimisation is the factorial method, where each variable is tested at every level of the other variables. An alternative approach is to modify the experimental design using a multifactorial approach. The Taguchi design method utilises orthogonal arrays, which distribute the variables in a balanced manner, thus greatly reducing the number of experiments required. We applied the Taguchi experimental design method to PCR optimisation, and significantly reduced the number of reactions required to create highly successful reactions. We found the Taguchi design method a valuable tool for the optimisation of multifactor experiments.