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In this chapter, we discuss the current status of observational and computational studies on galaxy formation and evolution. In particular, a joint analysis of star-formation rates (SFRs), stellar masses, and metallicities of galaxies throughout cosmic time can shed light on the processes by which galaxies build up their stellar mass and enrich the environment with heavy elements. Comparison of such observations and the results of numerical simulations can give us insights on the physical importance of various feedback effects by supernovae and active galactic nuclei. In Sect.  1 , we first discuss the primary methods used to deduce the SFRs, stellar masses, and (primarily) gas-phase metallicities in high-redshift galaxies. Then, we show how these quantities are related to each other and evolve with time. In Sect.  2 , we further examine the distribution of SFRs in galaxies following the ‘Main Sequence’ paradigm. We show how the so-called ‘starbursts’ display higher specific SFRs and SF efficiencies by an order of magnitude. We use this to devise a simple description of the evolution of the star-forming galaxy population since z ∼ 3 that can successfully reproduce some of the observed statistics in the infrared (IR) wavelength. We also discuss the properties of molecular gas. In Sect.  3 , we highlight some of the recent studies of high-redshift galaxy formation using cosmological hydrodynamic simulations. We discuss the physical properties of simulated galaxies such as luminosity function and escape fraction of ionizing photons, which are important statistics for reionization of the Universe. In particular the escape fraction of ionizing photons has large uncertainties, and studying gamma-ray bursts (which is the main topic of this conference) can also set observational constraints on this uncertain physical parameter as well as cosmic star formation rate density.

In the administration of the New South Wales Gaming Machines Act 2001, a small ‘industry’ developed around the preparation and appraisal of Social Impact Assessments (SIAs) required to accompany any application for additional Electronic Gaming Machines (EGMs) in clubs or hotels. The two-tiered structure permitted a simple process, known as Class 1, for small-increase applications. However the more complex Class 2 process required for larger applications was slow, costly and contentious. One of the key points of contention in this process was assessing the extent of problem gambling impacts that might be associated with a localised increase in EGMs, ordinarily expressed as an estimate of the increase in problem gamblers. As a consequence of this inefficient process, subsequent legislation sought to eliminate these contested aspects. This paper examines the available evidence on this policy approach and its effectiveness, focusing on the specific aspect of estimating incremental impacts arising from regulatory decisions, which serve to demonstrate the shortcomings of the system. The evidence presented extends to the application of a mathematical model developed for assessing outcomes in the SIA process. This model has some value as a tool in assessing regulatory outcomes in situations where marginal changes can alter externalised impacts.

This essay answers the \"Bayesian Challenge,\" which is an argument offered by Bayesians that concludes that belief is not relevant to rational action. Patrick Maher and Mark Kaplan argued that this is so because there is no satisfactory way of making sense of how it would matter. The two ways considered so far, acting as if a belief is true and acting as if a belief has a probability over a threshold, do not work. Contrary to Maher and Kaplan, Keith Frankish argued that there is a way to make sense of how belief matters by introducing a dual process theory of mind in which decisions are made at the conscious level using premising policies. I argue that Bayesian decision theory alone shows that it is sometimes rational to base decisions on beliefs; we do not need a dual process theory of mind to solve the Bayesian Challenge. This point is made clearer when we consider decision levels: acting as if a belief is true is sometimes rational at higher decision levels.

Elevated impulsivity is a key component of attention-deficit hyperactivity disorder (ADHD), bipolar disorder and juvenile myoclonic epilepsy (JME). We performed a genome-wide association, colocalization, polygenic risk score, and pathway analysis of impulsivity in JME (n = 381). Results were followed up with functional characterisation using a drosophila model. We identified genome-wide associated SNPs at 8q13.3 (P = 7.5 × 10−9) and 10p11.21 (P = 3.6 × 10−8). The 8q13.3 locus colocalizes with SLCO5A1 expression quantitative trait loci in cerebral cortex (P = 9.5 × 10−3). SLCO5A1 codes for an organic anion transporter and upregulates synapse assembly/organisation genes. Pathway analysis demonstrates 12.7-fold enrichment for presynaptic membrane assembly genes (P = 0.0005) and 14.3-fold enrichment for presynaptic organisation genes (P = 0.0005) including NLGN1 and PTPRD. RNAi knockdown of Oatp30B, the Drosophila polypeptide with the highest homology to SLCO5A1, causes over-reactive startling behaviour (P = 8.7 × 10−3) and increased seizure-like events (P = 6.8 × 10−7). Polygenic risk score for ADHD genetically correlates with impulsivity scores in JME (P = 1.60 × 10−3). SLCO5A1 loss-of-function represents an impulsivity and seizure mechanism. Synaptic assembly genes may inform the aetiology of impulsivity in health and disease.

This thesis describes a toolset aimed at making the creation and use of machine learning classifiers for Android sensor data easier for Android developers. It includes an Android sensor data gathering service, a RESTful machine learning API, and a plugin for Android applications to use classifiers created with the first two components.

An explanation of why courts, scholars and antitrust enforcement officials should scrutinize the use of low-price guarantees to ensure that they are not utilized for collusive purposes is presented.

We present a search for CO emission in a massive lyman break galaxy at z ~ 4.05.

In a departure from earlier incarnations of the Review of Developments in State Securities Regulation Review, all of which covered a miscellany of blue sky developments, the 1996 Review focuses on the particular theme of Blue Sky Law in Cyberspace.

Statues of Indian leader Massasoit and pilgrim leader William Bradford created by Cyrus Dallin are discussed. The statue of Massasoit displays the delicate balance between the recovery and the silencing of the Native American past.