Ampelopsis brevipedunculata (Maxim.) Trautv.

https://thekeep.eiu.edu/herbarium_specimens_byname/13216/thumbnail.jp

Vitis aestivalis F.Michx.

https://thekeep.eiu.edu/herbarium_specimens_byname/19458/thumbnail.jp

Vitis aestivalis F.Michx.

https://thekeep.eiu.edu/herbarium_specimens_byname/19458/thumbnail.jp

Microgeographic Variation in Response of Red-Eared Slider (Trachemys scripta elegans) Embryos to Similar Incubation Environments

We examined site-specific variation in the response of red-eared slider (Trachemys elegans) embryos exposed to similar incubation environments, and collected at five nearby sites central Illinois. Overall, site was not a significant source of variance in change in egg mass during bation, in hatchling wet mass, and in hatchling carapace length. However, site was a significant source variance in incubation period. Nonetheless, significant site-specific differences in each trait were in pairwise comparisons. The actual difference between extremes was small. Eggs from the site longest incubation period also gained the most water during incubation. Our study has important cations for future studies of geographic variation in the physiological response of embryos to incubation environments. Comparisons between eggs and embryos from geographically distant sites would benefit inclusion of as many clutches as possible. Larger numbers of clutches reduce the possibility that ferences between geographically distant regions are due to maternal differences rather than region-differences. Studies comparing embryonic responses from geographically distant regions would be strengthened by including turtles from as many local collecting sites for each region as possible. Sampling site per region may be inadequate because any geographic variation in embryonic response could well be due to undetected local site-specific differences

Agricultural Planning in Thailand, Final Report

The primary purpose of the Agricultural Planning Project (APP) was to strengthen the capabilities of Thailand\u27s Office of Agricultural Economics (OAE) to carry out policy advisory, problem identification and analysis, planning, data management, and integrated project preparation functions. The assistance was designed to increase the OAE\u27s capability to assist the Ministry of Agriculture and Cooperatives (MOAC) to more effectively plan and administer its resources to achieve specific policy objectives

Deterministic/Fragmented-Stochastic Exchange for Large Scale Hybrid DFT Calculations

We develop an efficient approach to evaluate range-separated exact exchange for grid or plane-wave based representations within the Generalized Kohn-Sham DFT (GKS-DFT) framework. The Coulomb kernel is fragmented in reciprocal space, and we employ a mixed deterministic-stochastic representation, retaining long wavelength (low-$k$) contributions deterministically and using a sparse ("fragmented") stochastic basis for the high-$k$ part. Coupled with a projection of the Hamiltonian onto a subspace of valence and conduction states from a prior local-DFT calculation, this method allows for the calculation of long-range exchange of large molecular systems with hundreds and potentially thousands of coupled valence states delocalized over millions of grid points. We find that even a small number of valence and conduction states is sufficient for converging the HOMO and LUMO energies of the GKS-DFT. Excellent tuning of long-range separated hybrids (RSH) is easily obtained in the method for very large systems, as exemplified here for the chlorophyll hexamer of Photosystem II with 1,320 electrons.Comment: 9 pages, 3 figure

Optimized Attenuated Interaction: Enabling Stochastic Bethe-Salpeter Spectra for Large Systems

We develop an improved stochastic formalism for the Bethe-Salpeter equation, based on an exact separation of the effective-interaction $W$ to two parts, $W=(W-v_W)+v_W$ where the latter is formally any translationally-invariant interaction $v_W(r-r')$. When optimizing the fit of $v_W$ exchange kernel to $W$, by using a stochastic sampling of $W$, the difference $W-v_W$ becomes quite small. Then, in the main BSE routine, this small difference is stochastically sampled. The number of stochastic samples needed for an accurate spectrum is then largely independent of system size. While the method is formally cubic in scaling, the scaling prefactor is small due to the constant number of stochastic orbitals needed for sampling $W$.Comment: 9 pages, 5 figures, 2 table

Spatial analysis of plague in California: niche modeling predictions of the current distribution and potential response to climate change

<p>Abstract</p> <p>Background</p> <p>Plague, caused by the bacterium <it>Yersinia pestis</it>, is a public and wildlife health concern in California and the western United States. This study explores the spatial characteristics of positive plague samples in California and tests Maxent, a machine-learning method that can be used to develop niche-based models from presence-only data, for mapping the potential distribution of plague foci. Maxent models were constructed using geocoded seroprevalence data from surveillance of California ground squirrels (<it>Spermophilus beecheyi</it>) as case points and Worldclim bioclimatic data as predictor variables, and compared and validated using area under the receiver operating curve (AUC) statistics. Additionally, model results were compared to locations of positive and negative coyote (<it>Canis latrans</it>) samples, in order to determine the correlation between Maxent model predictions and areas of plague risk as determined via wild carnivore surveillance.</p> <p>Results</p> <p>Models of plague activity in California ground squirrels, based on recent climate conditions, accurately identified case locations (AUC of 0.913 to 0.948) and were significantly correlated with coyote samples. The final models were used to identify potential plague risk areas based on an ensemble of six future climate scenarios. These models suggest that by 2050, climate conditions may reduce plague risk in the southern parts of California and increase risk along the northern coast and Sierras.</p> <p>Conclusion</p> <p>Because different modeling approaches can yield substantially different results, care should be taken when interpreting future model predictions. Nonetheless, niche modeling can be a useful tool for exploring and mapping the potential response of plague activity to climate change. The final models in this study were used to identify potential plague risk areas based on an ensemble of six future climate scenarios, which can help public managers decide where to allocate surveillance resources. In addition, Maxent model results were significantly correlated with coyote samples, indicating that carnivore surveillance programs will continue to be important for tracking the response of plague to future climate conditions.</p

Participants’ perceptions of “C.H.A.M.P. families”: A parent-focused intervention targeting paediatric overweight and obesity

Background: Recently, our team implemented a 13-week group-based intervention for parents of children with obesity (“C.H.A.M.P. Families”). The primary objective of this study was to explore, qualitatively, parents’ perspectives of their experiences in and influence of C.H.A.M.P. Families, as well as their recommendations for future paediatric obesity treatment interventions. Methods: Twelve parents (seven mothers, five fathers/step-fathers) representing seven children (four girls, three boys) with obesity participated in one of two focus groups following the intervention. Focus groups were audio recorded and transcribed verbatim and data were analyzed using inductive thematic analysis. Results: Findings showed that parents perceived their participation in C.H.A.M.P. Families to be a positive experience. Participants highlighted several positive health-related outcomes for children, families, and parents. Parents also underscored the importance and positive impact of the group environment, specific educational content, and additional program components such as free child-minding. Recommendations for future interventions were also provided, including greater child involvement and more practical strategies. Finally, parents identified several barriers including socioenvironmental issues, time constraints, and parenting challenges. Conclusions: Researchers developing family-based childhood obesity interventions should consider the balance of parent and child involvement, as well as emphasize group dynamics strategies and positive family communication