Julia L. Sharp

Sequential probability ratio test using scaled time-intervals for environmental radiation monitoring

Sequential probability ratio test (SPRT) of scaled time-interval data (time to record N radiation pulses), SPRT_scaled, was evaluated against commonly used single-interval test (SIT) and SPRT with a fixed counting interval, SPRT_fixed, on experimental and simulated data. Experimental data were acquired with a DGF-4C (XIA, Inc) system in list mode. Simulated time-interval data were obtained using Monte Carlo techniques to perform a random radiation sampling of the Poisson distribution. The three methods (SIT, SPRT_fixed and SPRT_scaled) were compared in terms of detection probability and average time to make a decision regarding the source of radiation. For both experimental and simulated data, SPRT_scaled provided similar detection probabilities as other tests, but was able to make a quicker decision with fewer pulses at relatively higher radiation levels. SPRT_scaled has a provision for varying the sampling time depending on the radiation level, which may further shorten the time needed for radiation monitoring. Parameter adjustments to the SPRT_scaled method for increased detection probability are discussed.

An Integrated WebGIS Framework for Volunteered Geographic Information and Social Media in Soil and Water Conservation

Volunteered geographic information and social networking in a WebGIS has the potential to increase public participation in soil and water conservation, promote environmental awareness and change, and provide timely data that may be otherwise unavailable to policymakers in soil and water conservation management. The objectives of this study were: (1) to develop a framework for combining current technologies, computing advances, data sources, and social media; and (2) develop and test an online web mapping interface. The mapping interface integrates Microsoft Silverlight, Bing Maps, ArcGIS Server, Google Picasa Web Albums Data API, RSS, Google Analytics, and Facebook to create a rich user experience. The website allows the public to upload photos and attributes of their own subdivisions or sites they have identified and explore other submissions. The website was made available to the public in early February 2011 at http://www.AbandonedDevelopments.com and evaluated for its potential long-term success in a pilot study.

22q13.2q13.32 genomic regions associated with severity of speech delay, developmental delay, and physical features in Phelan-McDermid syndrome

Purpose:Phelan–McDermid syndrome is a developmental disability syndrome with varying deletions of 22q13 and varying clinical severity. We tested the hypothesis that, in addition to loss of the telomeric gene SHANK3, specific genomic regions within 22q13 are associated with important clinical features.Methods:We used a customized oligo array comparative genomic hybridization of 22q12.3-terminus to obtain deletion breakpoints in a cohort of 70 patients with terminal 22q13 deletions. We used association and receiver operating characteristic statistical methods in a novel manner and also incorporated protein interaction networks to identify 22q13 genomic locations and genes associated with clinical features.Results:Specific genomic regions and candidate genes within 22q13.2q13.32 were associated with severity of speech/language delay, neonatal hypotonia, delayed age at walking, hair-pulling behaviors, male genital anomalies, dysplastic toenails, large/fleshy hands, macrocephaly, short and tall stature, facial asymmetry, and atypical reflexes. We also found regions suggestive of a negative association with autism spectrum disorders.Conclusion:This work advances the field of research beyond the observation of a correlation between deletion size and phenotype and identifies candidate 22q13 loci, and in some cases specific genes, associated with singular clinical features observed in Phelan–McDermid syndrome. Our statistical approach may be useful in genotype–phenotype analyses for other microdeletion or microduplication syndromes.Genet Med 2014:16(4):318–328.

Factors influencing U.S. canine heartworm (Dirofilaria immitis) prevalence

BackgroundThis paper examines the individual factors that influence prevalence rates of canine heartworm in the contiguous United States. A data set provided by the Companion Animal Parasite Council, which contains county-by-county results of over nine million heartworm tests conducted during 2011 and 2012, is analyzed for predictive structure. The goal is to identify the factors that are important in predicting high canine heartworm prevalence rates.MethodsThe factors considered in this study are those envisioned to impact whether a dog is likely to have heartworm. The factors include climate conditions (annual temperature, precipitation, and relative humidity), socio-economic conditions (population density, household income), local topography (surface water and forestation coverage, elevation), and vector presence (several mosquito species). A baseline heartworm prevalence map is constructed using estimated proportions of positive tests in each county of the United States. A smoothing algorithm is employed to remove localized small-scale variation and highlight large-scale structures of the prevalence rates. Logistic regression is used to identify significant factors for predicting heartworm prevalence.ResultsAll of the examined factors have power in predicting heartworm prevalence, including median household income, annual temperature, county elevation, and presence of the mosquitoes Aedes trivittatus, Aedes sierrensis and Culex quinquefasciatus. Interactions among factors also exist.ConclusionsThe factors identified are significant in predicting heartworm prevalence. The factor list is likely incomplete due to data deficiencies. For example, coyotes and feral dogs are known reservoirs of heartworm infection. Unfortunately, no complete data of their populations were available. The regression model considered is currently being explored to forecast future values of heartworm prevalence.

Chefs' opinions about reducing the calorie content of menu items in restaurants

Modifying the energy content of foods, particularly foods eaten away from home, is important in addressing the obesity epidemic. Chefs in the restaurant industry are uniquely placed to influence the provision of reduced‐calorie foods, but little is known about their opinions on this issue. A survey was conducted among chefs attending US culinary meetings about strategies for creating reduced‐calorie foods and opportunities for introducing such items on restaurant menus. The 432 respondents were from a wide variety of employment positions and the majority had been in the restaurant industry for ≥20 years. Nearly all chefs (93%) thought that the calories in menu items could be reduced by 10–25% without customers noticing. To decrease the calories in two specific foods, respondents were more likely to select strategies for reducing energy density than for reducing portion size (P < 0.004). Low consumer demand was identified as the greatest barrier to including reduced‐calorie items on the menu by 38% of chefs, followed by the need for staff skills and training (24%), and high ingredient cost (18%). The majority of respondents (71%) ranked taste as the most influential factor in the success of reduced‐calorie items (P < 0.0001). The results of this survey indicate that opportunities exist for reducing the energy content of restaurant items. Ongoing collaboration is needed between chefs and public health professionals to ensure that appealing reduced‐calorie menu items are more widely available in restaurants and that research is directed toward effective ways to develop and promote these items.

Supply network design

We focus on supply disruptions that result in producing tainted materials.We design a supply network to prevent risk of sending tainted material to customer.Statistical analysis was conducted to identify factors for predicting facility selection.We consider new idea of facility inspection as a recent FDA requirement in some SC.Presented model enables practitioners to select the most qualified suppliers. In this paper, we investigate a supply network design in supply chain with unreliable supply with application in the pharmaceutical industry. We consider two types of decision making policies: (1) a risk-neutral decision-making policy that is based on a cost-minimization approach and (2) a risk-averse policy wherein, rather than selecting facilities and identifying the pertinent supplier-consumer assignments that minimize the expected cost, the decision-maker uses a Conditional Value-at-Risk (CVaR) approach to measure and quantify risk and to define what comprises a worst-case scenario. The CVaR methodology allows the decision-maker to specify to what extent worst-case scenarios should be avoided and the corresponding costs associated with such a policy. After introducing the underlying optimization models, we present computational analysis and statistical analysis to compare the results of the risk-averse and risk-neutral policies. In addition, we provide several managerial insights.

Analysis of Phenolic Composition of Noble Muscadine (Vitis rotundifolia) by HPLC-MS and the Relationship to Its Antioxidant Capacity

UNLABELLED Phenolic compounds and anthocyanins in muscadines have attracted much attention due to their diverse biological activities. With bioassays of antioxidant activities in terms of total phenolic content (TPC), total anthocyanin content (TAC), total procyanidin content (TPA), oxygen radical absorbance capacity (ORAC), and ferric reducing antioxidant power (FRAP) of different parts of the Noble muscadine, the butanol (BuOH) extract of the muscadine skin showed the highest TPC (317.91 ± 1.83 mg GAE/100 g FW), which might be ascribed to its high TAC of 227.06 ± 1.29 mg/100 g fresh weight (FW). The ethyl acetate (EtOAc) extract of the muscadine seed contained the highest TPA (55.30 ± 0.63 mg CE/100 g FW). Correlation analyses demonstrated a significant linear relationship of TPC and TAC compared to their ORAC and FRAP values within the range of R(2) from 0.9283 to 0.9936, which suggested that phenolics and anthocyanins in the extracts contributed significantly to their antioxidant potential. Nineteen individual phenolics and 5 anthocyanins were identified by HPLC-MS, which indicated different chemical profiles of anthocyanins and other phenolics in the muscadine extracts. PRACTICAL APPLICATION The paper has provided rich information of bioactive phytochemical profiles in different solvent extracts and their correlation with the antioxidant activity in the muscadine that is a very special regional fruit in U.S. Its high content of phenolic compounds demonstrates that muscadine could be beneficial to human health.

Genes with high penetrance for syndromic and non-syndromic autism typically function within the nucleus and regulate gene expression.

BackgroundIntellectual disability (ID), autism, and epilepsy share frequent yet variable comorbidities with one another. In order to better understand potential genetic divergence underlying this variable risk, we studied genes responsible for monogenic IDs, grouped according to their autism and epilepsy comorbidities.MethodsUtilizing 465 different forms of ID with known molecular origins, we accessed available genetic databases in conjunction with gene ontology (GO) to determine whether the genetics underlying ID diverge according to its comorbidities with autism and epilepsy and if genes highly penetrant for autism or epilepsy share distinctive features that set them apart from genes that confer comparatively variable or no apparent risk.ResultsThe genetics of ID with autism are relatively enriched in terms associated with nervous system-specific processes and structural morphogenesis. In contrast, we find that ID with highly comorbid epilepsy (HCE) is modestly associated with lipid metabolic processes while ID without autism or epilepsy comorbidity (ID only) is enriched at the Golgi membrane. Highly comorbid autism (HCA) genes, on the other hand, are strongly enriched within the nucleus, are typically involved in regulation of gene expression, and, along with IDs with more variable autism, share strong ties with a core protein-protein interaction (PPI) network integral to basic patterning of the CNS.ConclusionsAccording to GO terminology, autism-related gene products are integral to neural development. While it is difficult to draw firm conclusions regarding IDs unassociated with autism, it is clear that the majority of HCA genes are tightly linked with general dysregulation of gene expression, suggesting that disturbances to the chronology of neural maturation and patterning may be key in conferring susceptibility to autism spectrum conditions.

High-performance liquid chromatography–mass spectrometry and evaporative light-scattering detector to compare phenolic profiles of muscadine grapes

Evaporative light scattering detector (ELSD) is considered as a universal detector able to detect almost any compound. This study successfully established a HPLC-ELSD method for the simultaneous determination of phenolic acids, flavonoids and anthocyanins in muscadine grape. Twenty-four phenolics, including 5 anthocyanins, were identified by HPLC-UV-MS, ten of them were selected to calibrate the ELSD. Results from the ELSD quantification suggested that gallic acid, proanthocyanidins, and ellagic acid were the main phenolics in muscadines. In addition, antioxidant tests suggested that the extracts of muscadine grapes possessed strong antioxidant activities. All extracts had a high total phenolic content (TPC). High total anthocyanins contents (TAC) were found in Noble muscadine, and high proanthocyanidins content (TPA) in the seed portion.

Quantitative factors proposed to influence the prevalence of canine tick-borne disease agents in the United States

The Companion Animal Parasite Council hosted a meeting to identify quantifiable factors that can influence the prevalence of tick-borne disease agents among dogs in North America. This report summarizes the approach used and the factors identified for further analysis with mathematical models of canine exposure to tick-borne pathogens.