High-throughput screening of protein surface activity via flow injection analysis-pH gradient-dynamic surface tension detection

Using flow injection analysis (FIA), a pH gradient is blended in real time with a protein sample as the pH-dependent protein surface activity is measured by a dynamic surface tension detector (FIA-pH-DSTD). This instrumental system was developed as a high-throughput method for the screening of protein surface activity at the air/liquid interface as a function of pH. This method utilizes the continuous flow, drop-based dynamic surface tension detector in combination with flow injection sample introduction and blending of a steady-state concentration of protein sample with a pH gradient ranging from pH 2.0 to pH 11.5. Dynamic surface tension is measured through the differential pressure across the air/liquid interface of repeatedly growing and detaching drops. Continuous surface tension measurement is achieved for each eluting drop of 2-s length (2 muL), providing insight into both the kinetic and thermodynamic behaviors of molecular orientation processes at the liquid/air interface. Three-dimensional data are obtained, with surface tension first converted to surface pressure, which is collected as a function of elution time versus drop time. In FIA-pH-DSTD, a commercial pH probe is used to measure pH during elution time, enabling surface pressure throughout drop time to be subsequently plotted as a function of eluting pH. An automated DSTD calibration procedure and data analysis method is applied, which allows simultaneous use of two different solvents, permitting real-time dynamic surface tension data to be obtained. The method was applied to the analysis of 14 commercial purified proteins, yielding characteristic features of surface activity as a function of pH. The reproducibility of the measurement and selectivity advantage of the DSTD was shown for the analysis of serum albumins from various mammalian sources. Several applications were also suggested and discussed in order to show the potential of the method for protein and food chemistry studies and in the study of protein-polymer interactions.     

Seasonal Features of Zooplankton Assemblages in the Nearshore Area of Southeastern Lake Michigan

Zooplankton in a nearshore area in southeastern Lake Michigan displayed strong seasonal and depth-related trends in abundance (#/m³) during the period 1971 to 1977. Depth-related assemblages defined by principal component analysis varied with season. From mid-spring to mid-autumn, zooplankton assemblages were strongly related to water depth. In general, zooplankton were least abundant in the inner region (5–10 m) where small organisms such as nauplii, Asplanchna spp., and Bosmina longirostris and epibenthic organisms such as Eurytemora affinis dominated. Zooplankton were most abundant between 20 and 30 m, with a peak July 1972–1977 mean density of 87,000/m³. Larger zooplankton, including Cyclops spp., Diaptomus spp., Daphnia spp., and Eubosmina coregoni dominated the outer region (20–50 m). During autumn, the inner region was dominated by cladocerans while the outer region was dominated by copepods. After thermal stratification disappeared in late autumn and before the thermal bar moved beyond the survey area in early spring, zooplankton tended to occur in higher densities in the shallow depths of the survey area. Also, in contrast to the mid-spring to mid-autumn period, zooplankton occurred in similar compositions over the survey grid. Factors implicated in producing seasonal differences in abundance patterns include temperature regimes, phytoplankton standing stocks, and predation by fish and invertebrates.     

Designing Advanced In Situ Electrode/Electrolyte Interphases for Wide Temperature Operation of 4.5 V Li||LiCoO2 Batteries

High-energy-density batteries with a LiCoO₂ (LCO) cathode are of significant importance to the energy-storage market, especially for portable electronics. However, their development is greatly limited by the inferior performance under high voltages and challenging temperatures. Here, highly stable lithium (Li) metal batteries with LCO cathode, through the design of in situ formed, stable electrode/electrolyte interphases on both the Li anode and the LCO cathode, with an advanced electrolyte, are reported. The LCO cathode can deliver a high specific capacity of ≈190 mAh g⁻¹ and show greatly improved cell performances under a high charge voltage of 4.5 V (even up to 4.55 V) and a wide temperature range from −30 to 55 °C. This work points out a promising approach for developing Li||LCO batteries for practical applications. This approach can also be used to improve the high-voltage performance of other batteries in a broad temperature range.     

Overview of Human Factors and Ergonomics in the OR,with an Emphasis on Minimally Invasive Surgeries

Operating rooms (OR) are where medical teams work to improve the health of a patient. However, because of the complexity of the procedures, errors and unsafe situations are likely to occur. These complications can lead to harm to the patient or medical professionals. Human factors and ergonomic professionals have been working to improve these unsafe conditions in the OR for over a century. However, with advances in technology, increased surgical complexity, as well as an increase in medical team members in the OR, there are still numerous improvements yet to be accomplished. Minimally invasive surgeries require an even more advanced approach to prevent errors due to technology, fatigue, and miscommunication. Human factors and ergonomic techniques provide the ability to greatly improve conditions for patients and surgeons alike. It is imperative that human factors and ergonomics continue to grow and facilitate technological advancements in healthcare. © 2012 Wiley Periodicals, Inc.     

Catastrophic misinterpretations as a predictor of symptom change during treatment for panic disorder.

Objective: Cognitive models of panic disorder suggest that change in catastrophic misinterpretations of bodily sensations will predict symptom reduction. To examine change processes, we used a repeated measures design to evaluate whether the trajectory of change in misinterpretations over the course of 12-week cognitive behavior therapy is related to the trajectory of change in a variety of panic-relevant outcomes. Method: Participants had a primary diagnosis of panic disorder (N = 43; 70% female; mean age = 40.14 years). Race or ethnicity was reported as 91% Caucasian, 5% African American, 2.3% biracial, and 2.3% “other.” Change in catastrophic misinterpretations (assessed with the Brief Body Sensations Interpretation Questionnaire; Clark et al., 1997) was used to predict a variety of treatment outcomes, including overall panic symptom severity (assessed with the Panic Disorder Severity Scale [PDSS]; Shear et al., 1997), panic attack frequency (assessed with the relevant PDSS item), panic-related distress/apprehension (assessed by a latent factor, including peak anxiety in response to a panic-relevant stressor—a straw breathing task), and avoidance (assessed by a latent factor, which included the Fear Questionnaire–Agoraphobic Avoidance subscale; Marks & Mathews, 1979). Results: Bivariate latent difference score modeling indicated that, as expected, change in catastrophic misinterpretations predicted subsequent reductions in overall symptom severity, panic attack frequency, distress/apprehension, and avoidance behavior. However, change in the various symptom domains was not typically a significant predictor of later interpretation change (except for the distress/apprehension factor). Conclusions: These results provide considerable support for the cognitive model of panic and speak to the temporal sequence of change processes during therapy. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Assessing knowledge of mathematical equivalence: A construct-modeling approach.

Knowledge of mathematical equivalence, the principle that 2 sides of an equation represent the same value, is a foundational concept in algebra, and this knowledge develops throughout elementary and middle school. Using a construct-modeling approach, we developed an assessment of equivalence knowledge. Second through sixth graders (N = 175) completed the assessment on 2 occasions, 2 weeks apart. Evidence supported the reliability and validity of the assessment along a number of dimensions, and the relative difficulty of items was consistent with the predictions from our construct map. By Grade 5, most students held a basic relational view of equivalence and were beginning to compare the 2 sides of an equation. This study provides insights into the order in which students typically learn different aspects of equivalence knowledge. It also illustrates a powerful but underutilized approach to measurement development that is particularly useful for developing measures meant to detect changes in knowledge over time or after intervention. (PsycINFO Database Record (c) 2011 APA, all rights reserved)