Creative Solutions for Emerging Child Care Needs

Harnett County has one of the fastest growing populations of families with children ages birth to 5 among rural counties in North Carolina. Collaborative partnerships have addressed this emerging need through the creation of Cooperative Extension\u27s Child Care Resource and Referral Program. This progressive, educational effort meets the unique needs of Harnett County families through six initiatives: comprehensive training; referral line; child care data base; resource library; development of new child care; and newsletters. Results include 11,033 providers trained, 4,707 new child care spaces created, and 81 family child care homes increasing quality indicators

Space tug propulsion system failure mode, effects and criticality analysis

For purposes of the study, the propulsion system was considered as consisting of the following: (1) main engine system, (2) auxiliary propulsion system, (3) pneumatic system, (4) hydrogen feed, fill, drain and vent system, (5) oxygen feed, fill, drain and vent system, and (6) helium reentry purge system. Each component was critically examined to identify possible failure modes and the subsequent effect on mission success. Each space tug mission consists of three phases: launch to separation from shuttle, separation to redocking, and redocking to landing. The analysis considered the results of failure of a component during each phase of the mission. After the failure modes of each component were tabulated, those components whose failure would result in possible or certain loss of mission or inability to return the Tug to ground were identified as critical components and a criticality number determined for each. The criticality number of a component denotes the number of mission failures in one million missions due to the loss of that component. A total of 68 components were identified as critical with criticality numbers ranging from 1 to 2990

Incorporating Farmers’ Market Tours into the Expanded Food and Nutrition Education Program: Best Practices and Lessons Learned

Research indicates that low-income consumers are less likely to shop at farmers’ markets and that these individuals are often those with the lowest intake of fresh fruits and vegetables. This project aimed to improve familiarity with farmers’ markets among low-income consumers through guided tours of farmers’ markets, implemented as part of the Expanded Food and Nutrition Education Program (EFNEP). EFNEP Program Assistants (PAs) in five counties in North Carolina received training and partnered with a local Cooperative Extension agent to deliver a farmers’ market tour at the mid-point of a nine-lesson series on healthy eating. Forty-eight participants completed the series, completing a pre-and post-class series behavior change assessment and dietary recall. At entry, 54% of participants said they ate food that came from a local farm, compared to 94% at exit. Interviews with all PAs found that participants: plan to visit the farmers’ market again in the future, tried new recipes with foods purchased at the market, and learned how to talk with and ask questions of farmers’ market vendors. We argue that farmers’ market tours are a promising strategy for increasing familiarity with local foods, when carried out as part of a series of nutrition education classes

Genome-wide comparative analysis reveals human-mouse regulatory landscape and evolution.

BACKGROUND: Because species-specific gene expression is driven by species-specific regulation, understanding the relationship between sequence and function of the regulatory regions in different species will help elucidate how differences among species arise. Despite active experimental and computational research, relationships among sequence, conservation, and function are still poorly understood. RESULTS: We compared transcription factor occupied segments (TFos) for 116 human and 35 mouse TFs in 546 human and 125 mouse cell types and tissues from the Human and the Mouse ENCODE projects. We based the map between human and mouse TFos on a one-to-one nucleotide cross-species mapper, bnMapper, that utilizes whole genome alignments (WGA). Our analysis shows that TFos are under evolutionary constraint, but a substantial portion (25.1% of mouse and 25.85% of human on average) of the TFos does not have a homologous sequence on the other species; this portion varies among cell types and TFs. Furthermore, 47.67% and 57.01% of the homologous TFos sequence shows binding activity on the other species for human and mouse respectively. However, 79.87% and 69.22% is repurposed such that it binds the same TF in different cells or different TFs in the same cells. Remarkably, within the set of repurposed TFos, the corresponding genome regions in the other species are preferred locations of novel TFos. These events suggest exaptation of some functional regulatory sequences into new function. Despite TFos repurposing, we did not find substantial changes in their predicted target genes, suggesting that CRMs buffer evolutionary events allowing little or no change in the TFos - target gene associations. Thus, the small portion of TFos with strictly conserved occupancy underestimates the degree of conservation of regulatory interactions. CONCLUSION: We mapped regulatory sequences from an extensive number of TFs and cell types between human and mouse using WGA. A comparative analysis of this correspondence unveiled the extent of the shared regulatory sequence across TFs and cell types under study. Importantly, a large part of the shared regulatory sequence is repurposed on the other species. This sequence, fueled by turnover events, provides a strong case for exaptation in regulatory elements

Hot Electron Capture Dissociation Distinguishes Leucine from Isoleucine in a Novel Hemoglobin Variant, Hb Askew, β54(D5)Val→Ile

Population migration has led to the global dispersion of human hemoglobinopathies and has precipitated a need for their identification. An effective mass spectrometry-based procedure involves analysis of the intact α- and β-globin chains to determine their mass, followed by location of the variant amino acid residue by direct analysis of the enzymatically digested chains and low-energy collision induced dissociation of the variant peptide. Using this procedure, a variant was identified as either β54Val→Leu or β54Val→Ile, since the amino acids leucine and isoleucine cannot be distinguished using low-energy collisions. Here, we describe how hot electron capture dissociation on a Fourier transform-ion cyclotron resonance mass spectrometer was used to distinguish isoleucine from leucine and identify the mutation as β54(D5)Val→Ile. This is a novel variant, and we have named it Hb Askew

Incorporating Nutrition Education Classes into Food Pantry Settings: Lessons Learned in Design and Implementation

The project reported here evaluated the effectiveness of nutrition education at food pantries. We offer best practices for future Extension-based nutrition programming with this clientele. Three classes were offered at food pantries through the Expanded Food and Nutrition Education Program (EFNEP). Entry and exit surveys were collected for each series, including 24-hour food recalls. Seventy-three percent of participants reported an increase in vegetable consumption, and 82% reported positive changes in consumption of at least one food group. Nutrition education in food pantries is promising, particularly for Extension-led programs like SNAP-Ed and EFNEP, to address nutrition behaviors among food insecure populations

Vena cava inferior thrombosis detected by venous hum: a case report

We describe a patient in which a venous hum, heard during abdominal auscultation, lead to the diagnosis of a vena cava inferior thrombosis

A general pattern of trade-offs between ecosystem resistance and resilience to tropical cyclones

Tropical cyclones drive coastal ecosystem dynamics, and their frequency, intensity, and spatial distribution are pre-dicted to shift with climate change. Patterns of resistance and resilience were synthesized for 4138 ecosystem time series from n = 26 storms occurring between 1985 and 2018 in the Northern Hemisphere to predict how coastal ecosystems will respond to future disturbance regimes. Data were grouped by ecosystems (fresh water, salt water, terrestrial, and wetland) and response categories (biogeochemistry, hydrography, mobile biota, sedentary fauna, and vascular plants). We observed a repeated pattern of trade-offs between resistance and resilience across analyses. These patterns are likely the outcomes of evolutionary adaptation, they conform to disturbance theories, and they indicate that consistent rules may govern ecosystem susceptibility to tropical cyclones

Integrating and mining the chromatin landscape of cell-type specificity using self-organizing maps

We tested whether self-organizing maps (SOMs) could be used to effectively integrate, visualize, and mine diverse genomics data types, including complex chromatin signatures. A fine-grained SOM was trained on 72 ChIP-seq histone modifications and DNase-seq data sets from six biologically diverse cell lines studied by The ENCODE Project Consortium. We mined the resulting SOM to identify chromatin signatures related to sequence-specific transcription factor occupancy, sequence motif enrichment, and biological functions. To highlight clusters enriched for specific functions such as transcriptional promoters or enhancers, we overlaid onto the map additional data sets not used during training, such as ChIP-seq, RNA-seq, CAGE, and information on cis-acting regulatory modules from the literature. We used the SOM to parse known transcriptional enhancers according to the cell-type-specific chromatin signature, and we further corroborated this pattern on the map by EP300 (also known as p300) occupancy. New candidate cell-type-specific enhancers were identified for multiple ENCODE cell types in this way, along with new candidates for ubiquitous enhancer activity. An interactive web interface was developed to allow users to visualize and custom-mine the ENCODE SOM. We conclude that large SOMs trained on chromatin data from multiple cell types provide a powerful way to identify complex relationships in genomic data at user-selected levels of granularity