1,093 research outputs found
Negotiating Part-Time Work: An Examination of How Attorneys Negotiate Part-Time Arrangements at Elite Law Firms
This article first provides background information pertaining to recent research on gender in negotiation and prior studies on part-time work at law firms. The author then discusses the methodology and sample of the current study of part-time work arrangements of attorneys at elite law firms in one major metropolitan legal market. Next the article describes the current study\u27s results with respect to whether attorneys viewed this situation as an opportunity to negotiate, measured by their preparation, and whether attorneys\u27 approaches were impacted by the existence of objective criteria, viewed here as the firm\u27s part-time policy. The author then provides prescriptive advice to attorneys and law firms based on the results of the current study
Detection of P2X3 in DRG Using an Automated Approach to Immunoblotting, Jess
Exaggerated cardiovascular (CV) responses to exercise can lead to adverse CV events. Previous studies have reported that P2X3 receptors, found on the peripheral endings of afferents, contribute to an exaggerated exercise pressor reflex in individuals with CV-related diseases. One way to investigate the role played by these receptors in CV pathophysiology is through immunoblotting. The Jess (Protein Simple) provides an automated option for the protein separation and immunoblotting of the traditional Western Blot and allows for total protein staining, an improvement over the use of loading controls to normalize for sample loading variability. PURPOSE: The purpose of this study was to develop a protocol, using the Jess, for quantifying P2X3 receptor protein expression in the L4 and L5 dorsal root ganglia (DRG) of healthy and type 1 diabetic rats. METHODS: Streptozotocin (STZ), 50 mg/kg, or a vehicle (CTL) was injected i.p into fasted Sprague Dawley rats (n=7 each group). After a minimum of 3 weeks, L4 and L5 DRG were excised, immediately placed in HBSS, and then stored at -80°C until subsequent analyses. For quantification, samples were lysed and protein was isolated (Macherey-Nagel) and then quantified (Qubit protein assay kit). For an initial Optimization Run a single test sample lysate was used; different protein concentrations (0.1 - 1.4 mg/ml) were tested against multiple Anti-P2X3 (Novus Biologicals) dilutions (1:25 – 1:250). Sample lysates (3 μl) and required reagents were loaded into a microplate as per manufacturer’s instructions and then the microplate and capillaries were loaded into the Jess. Over 3 hours; protein separation, antibody incubations, washes, and detection were all performed automatically within the Jess. The data from that run provided the optimal protein concentration and antibody dilution that were then used for the Sample Run, which involved running the CTL and STZ sample lysates. For the Sample Run, protein normalization reagent was added to the microplate in order to normalize for sample loading variability using total protein staining. RESULTS: Optimization Run - A protein concentration of 1.4 mg/ml and a dilution of 1:250 for the P2X3 antibody were found to be optimal. This determination was based on the combination of a low background signal from the antibody and a detectable target protein signal. Sample Run - We found that P2X3 receptor protein expression decreased in STZ rats compared to CTL rats (0.82 ± 0.09 vs 1.00 ± 0.19; n=7 both groups, p=0.03). CONCLUSION: Using the Jess, an automated protocol was developed that detected differences in P2X3 receptor protein expression in rats with and without diabetes. Advantages over the traditional Western Blot include: a run time of 3 hours, reduced user-associated variability thru automation, and the capability of using total protein staining to normalize for sample loading variability. Technological advances such as the Jess are a step towards addressing current rigor and reproducibility concerns
Improving Medication Safety in the ICU: The Pharmacist’s Role
Purpose: The clinical impact of a critical care pharmacist in reducing medication errors in the intensive care unit (ICU) setting was evaluated.
Methods: The study was divided into two 8-week phases: control phase without a critical care pharmacist and an ICU pharmacist phase with a critical care pharmacist. During both phases, pharmacy staff documented interventions using an electronic documentation system. Interventions that could be classified as medication errors were categorized by type of error and whether they were “averted” (intervention accepted) or “not averted” (intervention not accepted). The type and frequency of medication errors, number of medication errors “averted,” and clinical outcomes associated with the medication errors were compared between the control and ICU pharmacist phases.
Results: There was no significant difference between the groups for gender and mean age. Of the 267 interventions included in the ICU pharmacist phase, 256 were classified as medication errors compared with 54 of 58 interventions for the control phase. The average number of medication errors per day was significantly higher during the ICU pharmacist phase (4.27 ± 5.2) compared with the control phase (0.92 ± 1.29, P \u3c 0.0001). The number of medication errors “averted” was higher in the ICU pharmacist phase compared with the control phase (212 vs 50). The “averted” medication errors during the ICU pharmacist phase were related to a higher percentage of improved or resolved clinical outcomes compared with the control phase (66/194 [34%] vs 7/46 [15.2%], P = 0.013).
Conclusion: A critical care pharmacist improves medication safety by identifying and preventing medication errors and improving outcomes
Space Weather Status for Exploration Radiation Protection
Management of crew exposure to radiation is a major concern for manned spaceflight and will be even more important for the modern concept of longer-duration exploration. The inherent protection afforded to astronauts by the magnetic field of the Earth in Low Earth Orbit (LEO) makes operations on the space shuttle or space station very different from operations during an exploration mission. In order to experience significant radiation-derived Loss of Mission (LOM) or Loss of Crew (LOC) risk for LEO operations, one is almost driven to dictate extreme duration or to dictate an extreme sequence of solar activity. Outside of the geo-magnetosphere, however, this scenario changes dramatically. Exposures to the same event on the ISS and in free space, for example, may differ by orders of magnitude. This change in magnitude, coupled with the logistical constraints present in implementing any practical operational mitigation make situational awareness with regard to space weather a limiting factor for the ability to conduct exploration operations. We present a current status of developing operational concepts for manned exploration and expectations for asset viability and available predictive and characterization toolsets
Changes in the genomic content of circulating Bordetella pertussis strains isolated from the Netherlands, Sweden, Japan and Australia: adaptive evolution or drift?
Abstract Background Bordetella pertussis is the causative agent of human whooping cough (pertussis) and is particularly severe in infants. Despite worldwide vaccinations, whooping cough remains a public health problem. A significant increase in the incidence of whooping cough has been observed in many countries since the 1990s. Several reasons for the re-emergence of this highly contagious disease have been suggested. A particularly intriguing possibility is based on evidence indicating that pathogen adaptation may play a role in this process. In an attempt to gain insight into the genomic make-up of B. pertussis over the last 60 years, we used an oligonucleotide DNA microarray to compare the genomic contents of a collection of 171 strains of B. pertussis isolates from different countries. Results The CGH microarray analysis estimated the core genome of B. pertussis, to consist of 3,281 CDSs that are conserved among all B. pertussis strains, and represent 84.8% of all CDSs found in the 171 B. pertussis strains. A total of 64 regions of difference consisting of one or more contiguous CDSs were identified among the variable genes. CGH data also revealed that the genome size of B. pertussis strains is decreasing progressively over the past 60 years. Phylogenetic analysis of microarray data generated a minimum spanning tree that depicted the phylogenetic structure of the strains. B. pertussis strains with the same gene content were found in several different countries. However, geographic specificity of the B. pertussis strains was not observed. The gene content was determined to highly correlate with the ptxP-type of the strains. Conclusions An overview of genomic contents of a large collection of isolates from different countries allowed us to derive a core genome and a phylogenetic structure of B. pertussis. Our results show that B. pertussis is a dynamic organism that continues to evolve.</p
Body Mass Index Associations Between Mother and Offspring from Birth to Age 18: The Fels Longitudinal Study
Background: Parental obesity is a known determinant of childhood obesity. Previous research has shown a strong maternal influence on body mass index (BMI) during infancy and early childhood.
Objectives: The purpose of this research was to investigate the BMI associations between mother and offspring from birth to age 18 years.
Methods: Participants were selected from the Fels Longitudinal Study. The current study sample includes 427 (215 mother/son and 212 mother/daughter) mother/child pairs. These pairs are repeatedly measured at multiple age groups in children, resulting in a total of 6,263 (3,215 mother/son, 3,048 mother/daughter) observations for data analysis. Inclusion criteria were children with measured height and weight for BMI collected at ages 0 to 18 years and their mother with BMI data. Maternal influences of BMI on offspring BMI from birth to early adulthood were analyzed by Spearman correlations and linear regression analyses.
Results: Mother/son BMI correlations became statistically significant (p ≤ 0.05) at age 5–6 years and were significant through puberty and into early adulthood at age 18 years. Mother/daughter correlations became significant at age 1.5 years and also continued through adolescence, puberty and early adulthood at age 18 years. Associations persisted after the study sample was grouped into life stages and adjusted for decade of birth and parity.
Conclusions: The mother/daughter relationship was more strongly correlated than the mother/son relationship and also became statistically significant at an earlier age than boys
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