Diagnostic imaging in veterinary dental practice. Odontoma.
Explore the source record for details and available documents.
Animals↗
Biomedical subjects
Carlos Sanchez
Publications and source records attributed to Carlos Sanchez.
Rapid assessment of the needs and health status in Santa Rosa and Escambia counties, Florida, after Hurricane Ivan, September 2004.
BACKGROUND: Hurricane Ivan, a Category 3 storm, devastated the Florida panhandle on September 16, 2004, causing extensive property damage and 24 deaths. The Florida Department of Health requested assistance from the Centers for Disease Control and Prevention to conduct a rapid assessment in Santa Rosa and Escambia counties to determine the health impact of the hurricane and needs of the affected population. METHODS: A questionnaire was administered 6 days after the hurricane made landfall. The survey instrument elicited information about house damage, illness/injury, and access to utilities. A modified cluster sampling method was used to select 30 clusters in each county. Seven households were interviewed in each cluster and reported weighted frequencies. RESULTS: Three quarters of houses in each county were damaged. Households in Santa Rosa and Escambia lacked basic utilities, including regular garbage pick-up, telephone service, and electricity. Fifty-four percent of households in Santa Rosa and 27% in Escambia reported using a generator. The most commonly self-reported health conditions were sleep disturbances in Santa Rosa (54%) and upper respiratory problems in Escambia (46%). Injuries were reported in fewer than 15% of households in each county. CONCLUSION: Rapid restoration of power, telephone services, and debris pick-up remained a priority 1 week after the event. Findings demonstrated the need for (1) mental health and primary care services, (2) information about safe generator use, and (3) ways to access medical care and medications.
Centers for Disease Control and Prevention, U.S.↗
Optimizing photo-embossed gratings: a gradient library approach.
Methodologies for the rapid screening of coating systems were developed and applied to photopolymer lacquers for photoembossing applications. Continuous and discrete gradient libraries were prepared with a gradient in grating period along the short axis and along the long axis, a gradient in exposure energy, development temperature, film thickness, photoinitiator concentration, or monomer to polymer mass ratio. Discrete gradient libraries consisted of arrays of rectangular films made by pipetting a certain amount of sample onto a chemically patterned substrate consisting of hydrophilic patches surrounded by hydrophobic, fluorinated barriers. The shape and height of the photoembossed gratings were measured using an automated AFM. Optimum grating height was obtained for a 20-microm period at intermediate exposure energies, photoinitiator concentrations, or both. Height improves with development temperature (max 110 degrees C), monomer-to-polymer ratio (max 55 wt % monomer), and film thickness. Surface topography can also be optimized, depending on any specific application.
Calorimetry, Differential Scanning↗
High-throughput screening and optimization of photoembossed relief structures.
A methodology for the rapid design, screening, and optimization of coating systems with surface relief structures, using a combination of statistical experimental design, high-throughput experimentation, data mining, and graphical and mathematical optimization routines was developed. The methodology was applied to photopolymers used in photoembossing applications. A library of 72 films was prepared by dispensing a given amount of sample onto a chemically patterned substrate consisting of hydrophilic areas separated by fluorinated hydrophobic barriers. Film composition and film processing conditions were determined using statistical experimental design. The surface topology of the films was characterized by automated AFM. Subsequently, models explaining the dependence of surface topologies on sample composition and processing parameters were developed and used for screening a virtual 4000-membered in silico library of photopolymer lacquers. Simple graphical optimization or Pareto algorithms were subsequently used to find an ensemble of formulations, which were optimal with respect to a predefined set of properties, such as aspect ratio and shape of the relief structures.
Automation↗
Impact of Hurricane Ivan on pharmacies in Baldwin County, Alabama.
OBJECTIVE: To evaluate the impact of Hurricane Ivan, which made landfall east of Mobile, Alabama, on September 16, 2004, on pharmacies in the affected areas. DESIGN: Retrospective cross-sectional analysis. SETTING: Baldwin County, Alabama. INTERVENTIONS: Pharmacy community rapid-needs-assessment survey. PARTICIPANTS: 41 hospital and community (chain and independent) pharmacies. MAIN OUTCOME MEASURES: Posthurricane pharmacy hours of operations, prescription volumes, infrastructure damage, and prehurricane disaster planning. RESULTS: During the week of the hurricane, both chain and independent community pharmacies within the evacuation zone worked significantly fewer hours (46% and 49%, respectively) and dispensed significantly fewer prescriptions (37% and 52%) compared with the same week of the prior year. Overall, 40% of pharmacies depleted their supplies of certain medications (e.g., anxiolytics, antihypertensives). A total of 60% of the chain and independent pharmacies outside the evacuation zone closed because of loss of electricity, but pharmacies with a generator were significantly less likely to report having turned away patients. The proportion of pharmacies that had a disaster plan but turned away patients or rationed or ran out of medications was similar to that of pharmacies without a disaster plan. CONCLUSION: Although Hurricane Ivan primarily affected the operation of pharmacies within the evacuation zone, pharmacies in the surrounding area were also affected because of loss of power. Emergency management officials should evaluate the efficacy of specific guidelines outlined in disaster plans and identify ways to deliver essential medications to people in disaster-affected areas.
Alabama↗