Construction procurement systems : a linkage with project organisational models

This paper constitutes a literature review undertaken at the start of a two and a half year EPSRC funded research project. As such, its purpose is to present the details of the ‘re-search’concerning construction procurement and project organizational design. The paper shows that the ‘post -Latham’construction industry provides several new developments (client power, partnering, concurrent engineering etc) which are altering the construction project process, and therefore prove worthy vehicles for investigation into project organizational structures

Development of Standard Operating Procedure: Admicellar Polymerization of Polystyrene Thin Film (Aibn) on Polysciences 30-50μm Glass Beads Using Cetyltrimethyl-Ammonium Bromide Surfactant

Poly(1-phenylethene), commonly referred to as Polystyrene, is one of the world’s most common polymers. Made from the monomer styrene (ethenylbenzene), this polymer is used in a wide range of products from packing peanuts to disposable cutlery. The method of polymerization used in this research project is called admicellar polymerization. This process consists of four main steps: admicelle formation, adsolubilization, polymerization, and removal of admicelle and polymer. Admicellar polymerization has a number of advantages over related methods of thin film polymerization including simplicity and low cost of components and process

Project communication variables : a comparative study of US and UK industry perceptions

Research undertaken at the Construction Industry Institute (CII) in the USA has indicated the need for project managers to focus their attention on six ‘Critical Communication Variables’ as a means of ensuring the fulfillment of time cost and quality targets. These variables refer to the accuracy, timeliness and completeness of information presented to participants, as well as the level of understanding, barriers to and procedures for project based communication. The findings and tools generated by the CII study have been used as part of case study based research examining construction projects in the Central Belt region of Scotland. In addition to the CII data collection tools employed, the Scottish study included semi-structured interviews as a means of contextualising the communication and decision-making taking place. This paper presents the results of this benchmarking exercise, and highlights significant issues that project team members need to improve upon in order to achieve the timeliness quality and cost required in today’s construction industr

Development of Standard Operating Procedure: Admicellar Polymerization of Polystyrene Thin Film (Aibn) on Polysciences 30-50µm Glass Beads Using Cetyltrimethyl-Ammonium Bromide Surfactant

Poly(1-phenylethene), commonly referred to as Polystyrene, is one of the world\u27s most common polymers. Made from the monomer styrene (ethenylbenzene), this polymer is used in a wide range of products from packing peanuts to disposable cutlery. The method of polymerization used in this research project is called admicellar polymerization. This process consists of four main steps: admicelle formation, adsolubilization, polymerization, and removal of admicelle and polymer. Admicellar polymerization has a number of advantages over related methods of thin film polymerization including simplicity and low cost of components and process

Learning Performance of Prediction Markets with Kelly Bettors

In evaluating prediction markets (and other crowd-prediction mechanisms), investigators have repeatedly observed a so-called "wisdom of crowds" effect, which roughly says that the average of participants performs much better than the average participant. The market price---an average or at least aggregate of traders' beliefs---offers a better estimate than most any individual trader's opinion. In this paper, we ask a stronger question: how does the market price compare to the best trader's belief, not just the average trader. We measure the market's worst-case log regret, a notion common in machine learning theory. To arrive at a meaningful answer, we need to assume something about how traders behave. We suppose that every trader optimizes according to the Kelly criteria, a strategy that provably maximizes the compound growth of wealth over an (infinite) sequence of market interactions. We show several consequences. First, the market prediction is a wealth-weighted average of the individual participants' beliefs. Second, the market learns at the optimal rate, the market price reacts exactly as if updating according to Bayes' Law, and the market prediction has low worst-case log regret to the best individual participant. We simulate a sequence of markets where an underlying true probability exists, showing that the market converges to the true objective frequency as if updating a Beta distribution, as the theory predicts. If agents adopt a fractional Kelly criteria, a common practical variant, we show that agents behave like full-Kelly agents with beliefs weighted between their own and the market's, and that the market price converges to a time-discounted frequency. Our analysis provides a new justification for fractional Kelly betting, a strategy widely used in practice for ad-hoc reasons. Finally, we propose a method for an agent to learn her own optimal Kelly fraction

The influence of scribe mark pattern on perceived rotation of toric soft contact lenses

This study examined the effect of toric lens scribe mark designs on the perceived angle of rotation. Forty seven novice observers viewed video of 10 presentations for each of the seven lens designs. Overall, observers underestimated angles of rotation and no single lens design was more accurately estimated than any other. When horizontal vs. vertical lens designs were compared, the horizontal lenses were underestimated less than the vertical. Gender did not influence axis estimations

Predictors of disease progression in HIV infection: a review

During the extended clinically latent period associated with Human Immunodeficiency Virus (HIV) infection the virus itself is far from latent. This phase of infection generally comes to an end with the development of symptomatic illness. Understanding the factors affecting disease progression can aid treatment commencement and therapeutic monitoring decisions. An example of this is the clear utility of CD4+ T-cell count and HIV-RNA for disease stage and progression assessment

Wildfires identification: Semantic segmentation using support vector machine classifier

summary:This paper deals with wildfire identification in the Alaska regions as a semantic segmentation task using support vector machine classifiers. Instead of colour information represented by means of BGR channels, we proceed with a normalized reflectance over 152 days so that such time series is assigned to each pixel. We compare models associated with $\mathcal{l}1$-loss and $\mathcal{l}2$-loss functions and stopping criteria based on a projected gradient and duality gap in the presented benchmarks