Similarity and attraction effects in episodic memory judgments

In the decision-making literature, it is known that preferences between two options can be influenced in different ways by the introduction of a third option. We investigated whether such influences could be demonstrated when making decisions about qualitative aspects of episodic memories. In a baseline condition, participants were asked which of two dissimilar events they remembered more vividly: (A) a well-known Olympic victory, or (B) the death of a well-known public figure. In two further conditions, a third event was added: (C) an Olympic victory similar and competitive to A, or (D) an Olympic victory similar but inferior to A. With the addition of C, participants were less likely to choose A than B (similarity effect), whereas with the addition of D, they were more likely to choose A than B (attraction effect), suggesting that effects known in decision-making can be generalised to relative judgments about episodic memories

Hysteresis, Avalanches, and Noise: Numerical Methods

In studying the avalanches and noise in a model of hysteresis loops we have developed two relatively straightforward algorithms which have allowed us to study large systems efficiently. Our model is the random-field Ising model at zero temperature, with deterministic albeit random dynamics. The first algorithm, implemented using sorted lists, scales in computer time as O(N log N), and asymptotically uses N (sizeof(double)+ sizeof(int)) bits of memory. The second algorithm, which never generates the random fields, scales in time as O(N \log N) and asymptotically needs storage of only one bit per spin, about 96 times less memory than the first algorithm. We present results for system sizes of up to a billion spins, which can be run on a workstation with 128MB of RAM in a few hours. We also show that important physical questions were resolved only with the largest of these simulations

How dietary arachidonic- and docosahexaenoic- acid rich oils differentially affect the murine hepatic transcriptome

INTRODUCTION: Herein, we expand our previous work on the effects of long chain polyunsaturated fatty acids (LC-PUFA) on the murine hepatic transcriptome using novel statistical and bioinformatic approaches for evaluating microarray data. The analyses focuses on key differences in the transcriptomic response that will influence metabolism following consumption of FUNG (rich in 20:4n6), FISH (rich in 20:5n3, 22:5n3, and 22:6n3) and COMB, the combination of the two. RESULTS: Using a variance-stabilized F-statistic, 371 probe sets (out of 13 K probe sets in the Affymetrix Mu11K chip set) were changed by dietary treatment (P < 0.001). Relative to other groups, COMB had unique affects on murine hepatic transcripts involved in cytoskeletal and carbohydrate metabolism; whereas FUNG affected amino acid metabolism via CTNB1 signaling. All three diets affected transcripts linked to apoptosis and cell proliferation, with evidence FISH may have increased apoptosis and decreased cell proliferation via various transcription factors, kinases, and phosphatases. The three diets affected lipid transport, lipoprotein metabolism, and bile acid metabolism through diverse pathways. Relative to other groups, FISH activated cyps that form hydroxylated fatty acids known to affect vascular tone and ion channel activity. FA synthesis and delta 9 desaturation were down regulated by COMB relative to other groups, implying that a FA mixture of 20:4n6, 20:5n3, and 22:6n3 is most effective at down regulating synthesis, via INS1, SREBP, PPAR alpha, and TNF signaling. Heme synthesis and the utilization of heme for hemoglobin production were likely affected by FUNG and FISH. Finally, relative to other groups, FISH increased numerous transcripts linked to combating oxidative such as peroxidases, an aldehyde dehydrogenase, and heat shock proteins, consistent with the major LC-PUFA in FISH (20:5n3, 22:5n3, 22:6n3) being more oxidizable than the major fatty acids in FUNG (20:4n6). CONCLUSION: Distinct transcriptomic, signaling cascades, and predicted affects on murine liver metabolism have been elucidated for 20:4n6-rich dietary oils, 22:6n3-rich oils, and a surprisingly distinct set of genes were affected by the combination of the two. Our results emphasize that the balance of dietary n6 and n3 LC-PUFA provided for infants and in nutritional and neutraceutical applications could have profoundly different affects on metabolism and cell signaling, beyond that previously recognized

Networks and the epidemiology of infectious disease

The science of networks has revolutionised research into the dynamics of interacting elements. It could be argued that epidemiology in particular has embraced the potential of network theory more than any other discipline. Here we review the growing body of research concerning the spread of infectious diseases on networks, focusing on the interplay between network theory and epidemiology. The review is split into four main sections, which examine: the types of network relevant to epidemiology; the multitude of ways these networks can be characterised; the statistical methods that can be applied to infer the epidemiological parameters on a realised network; and finally simulation and analytical methods to determine epidemic dynamics on a given network. Given the breadth of areas covered and the ever-expanding number of publications, a comprehensive review of all work is impossible. Instead, we provide a personalised overview into the areas of network epidemiology that have seen the greatest progress in recent years or have the greatest potential to provide novel insights. As such, considerable importance is placed on analytical approaches and statistical methods which are both rapidly expanding fields. Throughout this review we restrict our attention to epidemiological issues

Extinction by Miscalculation:

Species at Risk Act, Sakinaw sockeye, Cultus sockeye, fisheries management, extinction.

Human Energy Maximization in a Customized Leadership Program

Sustainability and thriving are key terms that are driving how energy sources, such as solar, wind, water, and geothermal, generate survivability in the era of globalization. Rarely are those terms used to define human energy expenditures; however, human energy is the most readily available energy source for it serves as a primary catalyst in the fueling or degrading of the sustainability and survival of all other resources. Additionally, humans live, learn, and earn in spaces where they expend energy by mere existence. Most humans are unaware of the impact their personal energy has on the utility and fortitude of the spaces where they reside (Roberts, 2015). For years, green energy campaigns focused on energy that is extracted, generated, or consumed without significant impact to the health or welfare of the environment. The planet has a natural tendency to regenerate green energy even when pollution occurs, if it does not eradicate the environment itself. Such energy also measures the utility of natural resources and can be applied this can occur with humans. Humans can overcome polluted experiences if the right resources are infused into their experiences, because it regenerates their talents, skills, abilities, hopes, and dreams (Roberts, 2015). The research in this study explored how customization of a leadership development program using an innovative business model, termed the Human Utility Business™ (HUB™), can awaken latent human energy and inspire workers towards consistent high performance (Roberts, 2015). For this research, human energy was measured in the form of productive and/or transformed behaviors, relationship constructs or deconstructs, engaged learning, securing awards and recognition, employment, or leading themselves and other with minimal entropy. Terms like “energy efficiency “and “renewable energy” were accounted as natural resources for sustainability in the HUB™ model to customize curriculum for a leadership development program. Participants were motivated to sustain (energy efficiency) and thrive (renewable energy) in their work performance and work relationships. The HUB™ model is heuristic and built on extensive partnerships and Lean Six Sigma™ methodology that ignited participants’ passions and performances. The model is organic in nature and concentrates on the movement of individual energy as it interchanges within groups. The strength of the HUB™ model was in measuring the utility of humans to adapt to diverse and inclusive environments while they become self-aware of how they relate to others at work. The HUB™ model inspired leadership and stewardship, which are core elements of a diverse and inclusive society. The HUB™ curriculum offered opportunities for participants to make informed decisions about their behaviors and purposefully decide on the impact their behaviors have on those with whom they work. Possibilities of relationships that may appear now and in the future, were explored in the HUB™ curriculum using 3D simulation technology and role play. Participants could simulate real-time and possible work situations to intentionally make decisions to create preferred futures based on their and others’ professional and personal expectations. The HUB™ content was not team building; it was purposeful amortization of the energy found in the life of each individual participant