The roles of genetic variation and exercise on dietary patterns among sedentary young adults

Researchers from health care to basic science are interested in determining how people can improve their overall eating patterns. This dissertation concerns the roles of genetic variation and exercise in influencing dietary patterns, with three specific aims. 1. Characterize dietary patterns using sparse latent factor models, addressing the methodological shortcomings of the current dietary pattern approach. 2. Examine the influence of a 15-week aerobic exercise training protocol on dietary patterns among young adults. 3. Examine the contribution of genetic variation to the variability of dietary patterns using genome-wide single nucleotide polymorphism (SNP) data. Since foods and beverages are consumed in a variety of combinations under free-living circumstances, analysis performed on a per-food or per-nutrient basis can be misleading. Thus, it is important to consider not only research related individual dietary component, but also research that examines dietary patterns that represent the real-life manner in which foods are consumed in a variety of combinations. With this idea in mind, dietary pattern analysis was performed to identify habitual dietary patterns among young adults. In this research project, sparse latent factor modeling was applied to dietary pattern analysis an alternative approach to overcome the methodological shortcomings of the current dietary pattern methods in which several steps are performed sequentially, and each step involves in an arbitrary decision rule. Once dietary patterns were identified, the influence of exercise on patterns of food consumption was evaluated. Changes in dietary patterns among young adults after 15 weeks of exercise training were examined using the time-varying factor scores of dietary patterns. The results suggest that engaging in regular exercise may motivate individuals to regulate overall food intake as well as pursue healthier dietary preferences. Finally, the SNP-based heritability of dietary patterns was examined using genome-wide SNP data. The proportion of variance in dietary patterns accounted for by genetic variation was calculated, which produced estimates of SNP-based heritability. The heritability of both the Snacking and Western patterns was greater than that of the Prudent pattern, suggesting a stronger biological underpinning for preference of foods high in fat and sugar. Dietary patterns are more than the sum of their part; they represent what people habitually eat and drink in daily lives, and these dietary components act synergistically to affect health. Understanding the roles of exercise and genetic variation in influencing dietary patterns as a whole would be a significant step toward the goal of providing a robust behavioral and biological basis for healthy eating patterns that both reduce risk of preventable chronic disease and promote overall health.Nutritional Science

Multi-Color Luminescence Transition of Upconversion Nanocrystals via Crystal Phase Control with SiO2 for High Temperature Thermal Labels

Upconversion nanocrystals (UCNs)-embedded microarchitectures with luminescence color transition capability and enhanced luminescence intensity under extreme conditions are suitable for developing a robust labeling system in a high-temperature thermal industrial process. However, most UCNs based labeling systems are limited by the loss of luminescence owing to the destruction of the crystalline phase or by a predetermined luminescence color without color transition capability. Herein, an unusual crystal phase transition of UCNs to a hexagonal apatite phase in the presence of SiO2 nanoparticles is reported with the enhancements of 130-fold green luminescence and 52-fold luminance as compared to that of the SiO2-free counterpart. By rationally combining this strategy with an additive color mixing method using a mask-less flow lithography technique, single to multiple luminescence color transition, scalable labeling systems with hidden letters-, and multi-luminescence colored microparticles are demonstrated for a UCNs luminescence color change-based high temperature labeling system

Leveraging Image Augmentation for Object Manipulation: Towards Interpretable Controllability in Object-Centric Learning

The binding problem in artificial neural networks is actively explored with the goal of achieving human-level recognition skills through the comprehension of the world in terms of symbol-like entities. Especially in the field of computer vision, object-centric learning (OCL) is extensively researched to better understand complex scenes by acquiring object representations or slots. While recent studies in OCL have made strides with complex images or videos, the interpretability and interactivity over object representation remain largely uncharted, still holding promise in the field of OCL. In this paper, we introduce a novel method, Slot Attention with Image Augmentation (SlotAug), to explore the possibility of learning interpretable controllability over slots in a self-supervised manner by utilizing an image augmentation strategy. We also devise the concept of sustainability in controllable slots by introducing iterative and reversible controls over slots with two proposed submethods: Auxiliary Identity Manipulation and Slot Consistency Loss. Extensive empirical studies and theoretical validation confirm the effectiveness of our approach, offering a novel capability for interpretable and sustainable control of object representations

Influences of Quality of Maternal Care and Environmental Enrichment on Associative Memory Function in Rats with Early Life Lead Exposure

INTRODUCTION: Children in low socioeconomic status (SES) communities are at higher risk of exposure to lead (Pb) and potentially more severe adverse outcomes from Pb exposures. While the factors encompassing SES are complex, low SES households often have less enriching home environments and parent-child interactions. This study investigated the extent to which environmental/behavioral factors (quality of maternal care and richness of the postnatal environment) may modify adverse effects from Pb exposure. METHODS: Long-Evans female rats were randomly assigned to Control (no Pb), Early Postnatal (EPN: birth through weaning), or Perinatal (PERI: 14 days pre-mating through weaning) Pb exposure groups. From postnatal days (PNDs) 2-9, maternal care behaviors were observed, and dams were classified as low or high maternal care based on amounts of licking/grooming and arched back nursing. At weaning, pups were randomly assigned to enriched or non-enriched environments. At PND 55, animals began trace fear conditioning and associative memory was tested on days 1, 2, and 10 postconditioning. RESULTS: Control offspring showed no significant effects of maternal care or enrichment on task performance. Females with EPN-Pb exposure and males with PERI-Pb exposure living in the non-enriched environment and having an LMC mother had significant memory impairments at days 2 and 10 that were not observed in comparably housed animals with HMC mothers. Enriched animals had no deficits, regardless of maternal care status. CONCLUSION: These results show the potential for modulatory influences of maternal care and housing environment on protecting against or reversing at least one aspect of Pb-induced cognitive/behavioral dysfunction

The SAMI Galaxy Survey: kinematic alignments of early-type galaxies in A119 and A168

We investigate the kinematic alignments of luminous early-type galaxies (M r ≤ −19.5 mag) in A119 and A168 using the kinematic position angles (${{\rm{PA}}}_{{\rm{kin}}}$) from the Sydney-AAO Multi-object Integral-field spectrograph (SAMI) survey data, motivated by the implication of the galaxy spin alignment in a cosmological context. To increase the size of our sample for statistical significance, we also use the photometric position angles (${{\rm{PA}}}_{{\rm{phot}}}$) for galaxies that have not been observed by SAMI, if their ellipticities are higher than 0.15. Our luminous early-type galaxies tend to prefer the specific position angles in both clusters, confirming the results of Kim et al., who recently found the kinematic alignment of early-type galaxies in the Virgo cluster based on the ATLAS 3D integral-field spectroscopic data. This alignment signal is more prominent for galaxies in the projected phase-space regions dominated by infalling populations. Furthermore, the alignment angles are closely related to the directions of the filamentary structures around clusters. The results lead us to conclude that many cluster early-type galaxies are likely to be accreted along filaments while maintaining their spin axes, which are predetermined before cluster infall

25th annual computational neuroscience meeting: CNS-2016

The same neuron may play different functional roles in the neural circuits to which it belongs. For example, neurons in the Tritonia pedal ganglia may participate in variable phases of the swim motor rhythms [1]. While such neuronal functional variability is likely to play a major role the delivery of the functionality of neural systems, it is difficult to study it in most nervous systems. We work on the pyloric rhythm network of the crustacean stomatogastric ganglion (STG) [2]. Typically network models of the STG treat neurons of the same functional type as a single model neuron (e.g. PD neurons), assuming the same conductance parameters for these neurons and implying their synchronous firing [3, 4]. However, simultaneous recording of PD neurons shows differences between the timings of spikes of these neurons. This may indicate functional variability of these neurons. Here we modelled separately the two PD neurons of the STG in a multi-neuron model of the pyloric network. Our neuron models comply with known correlations between conductance parameters of ionic currents. Our results reproduce the experimental finding of increasing spike time distance between spikes originating from the two model PD neurons during their synchronised burst phase. The PD neuron with the larger calcium conductance generates its spikes before the other PD neuron. Larger potassium conductance values in the follower neuron imply longer delays between spikes, see Fig. 17.Neuromodulators change the conductance parameters of neurons and maintain the ratios of these parameters [5]. Our results show that such changes may shift the individual contribution of two PD neurons to the PD-phase of the pyloric rhythm altering their functionality within this rhythm. Our work paves the way towards an accessible experimental and computational framework for the analysis of the mechanisms and impact of functional variability of neurons within the neural circuits to which they belong