Cross-validation of an abbreviated form of the Halstead Category Test.

Cross-validated the use of a short form of the Halstead Category Test as suggested by D. A. Calsyn et al (see record 1981-02450-001). For 60 Ss (mean age 36.72 yrs), it was found that the total score estimated from their formula (based on the 1st 4 subtests of the Category Test) correlated .88 with the overall score. The formula was cross-validated in 3 samples with all correlations above .83. It was found that the formula could reliably predict who would exceed the cutoff of the entire test, with an overall accuracy across the 4 samples of 184 out of 205. (3 ref) (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Integral Antireflective Surface Production on Optical Glass

Integral antireflective surfaces with extremely high laser-damage thresholds were prepared on optical glasses by controlled corrosion in neutral solution. Properties of such surfaces are discussed and compared with gradient antireflective surfaces produced on phase-separated borositicate glasses.     

Multiple-Instance Learning of Real-Valued Geometric Patterns

Recently there has been significant research in multiple-instance learning, yet most of this work has only considered this model when there are Boolean labels. However, in many of the application areas for which the multiple-instance model fits, real-valued labels are more appropriate than Boolean labels. We define and study a real-valued multiple-instance model in which each multiple-instance example (bag) is given a real-valued label in [0, 1] that indicates the degree to which the bag satisfies the target concept. To provide additional structure to the learning problem, we associate a real-valued label with each point in the bag. These values are then combined using a real-valued aggregation operator to obtain the label for the bag. We then present on-line agnostic algorithms for learning real-valued multiple-instance geometric concepts defined by axis-aligned boxes in constant-dimensional space and describe several possible applications of these algorithms. We obtain our learning algorithms by reducing the problem to one in which the exponentiated gradient or gradient descent algorithm can be used. We also give a novel application of the virtual weights technique. In typical applications of the virtual weights technique, all of the concepts in a group have the same weight and prediction, allowing a single representative concept from each group to be tracked. However, in our application there are an exponential number of different weights and possible predictions. Hence, boxes in each group have different weights and predictions, making the computation of the contribution of a group significantly more involved. However, we are able to both keep the number of groups polynomial in the number of trials and efficiently compute the overall prediction.     

Attachment style,social skills,and Facebook use amongst adults

Research suggests that online communication may benefit those high in social anxiety. The current study examined Facebook use from the perspective of adult attachment theory, exploring relationships between attachment anxiety and avoidance and Facebook use. Social skills have been found to be related to attachment style and internet use thus we also examined the role of these skills. A diverse sample of adult participants (N = 617; 50.1% female) completed a self report questionnaire measuring attachment dimensions, social skills, and Facebook use and experience. In line with predictions grounded in attachment theory, we found that individuals with high attachment anxiety used Facebook more frequently, were more likely to use it when feeling negative emotions and were more concerned about how others perceived them on Facebook. High attachment avoidance was related to less Facebook use, less openness and less positive attitudes towards Facebook. These relationships remained when social skills were controlled. These results suggest that Facebook may serve attachment functions and provide a basis for understanding how online communication may be related to attachment styles.     

Metabolomic Profiling of Plasma from Melioidosis Patients Using UHPLC-QTOF MS Reveals Novel Biomarkers for Diagnosis

To identify potential biomarkers for improving diagnosis of melioidosis, we compared plasma metabolome profiles of melioidosis patients compared to patients with other bacteremia and controls without active infection, using ultra-high-performance liquid chromatography-electrospray ionization-quadruple time-of-flight mass spectrometry. Principal component analysis (PCA) showed that the metabolomic profiles of melioidosis patients are distinguishable from bacteremia patients and controls. Using multivariate and univariate analysis, 12 significant metabolites from four lipid classes, acylcarnitine (n = 6), lysophosphatidylethanolamine (LysoPE) (n = 3), sphingomyelins (SM) (n = 2) and phosphatidylcholine (PC) (n = 1), with significantly higher levels in melioidosis patients than bacteremia patients and controls, were identified. Ten of the 12 metabolites showed area-under-receiver operating characteristic curve (AUC) >0.80 when compared both between melioidosis and bacteremia patients, and between melioidosis patients and controls. SM(d18:2/16:0) possessed the largest AUC when compared, both between melioidosis and bacteremia patients (AUC 0.998, sensitivity 100% and specificity 91.7%), and between melioidosis patients and controls (AUC 1.000, sensitivity 96.7% and specificity 100%). Our results indicate that metabolome profiling might serve as a promising approach for diagnosis of melioidosis using patient plasma, with SM(d18:2/16:0) representing a potential biomarker. Since the 12 metabolites were related to various pathways for energy and lipid metabolism, further studies may reveal their possible role in the pathogenesis and host response in melioidosis.     

Survival and recovery of viable but nonculturable Listeria monocytogenes cells in a nutritionally depleted medium

Survival of a desiccated five-strain Listeria monocytogenes mixture during storage in sand at 4 degrees C for 2 months was determined using the acridine orange direct count method with novobiocin and plate counts. Samples of inoculated sand were taken every 2 weeks, incubated at 37 degrees C for 6 h, stained with acridine orange, and then examined with a fluorescence microscope. Elongated viable but nonculturable cells were most frequently observed during weeks 2 and 4. At weeks 6 and 8, most of the cells either remained viable or were dead. In each microscopic field, only one or two viable but nonculturable cells were observed among hundreds of other viable culturable cells, indicating that L. monocytogenes does not generally become viable but nonculturable. Therefore, viable but nonculturable cells are not a concern when plating environmental samples or desiccated L. monocytogenes cells on nonselective media. Tryptic soy agar with 0.6% (wt/vol) yeast extract (TSAYE) and Columbia agar were used as nonselective plate count media. Modified Oxford agar and TSAYE + 5% (wt/vol) sodium chloride were used as the selective plate count media. The effects of aerobic or anaerobic incubation and media supplementation with 0.1% or 1% (wt/vol) sodium pyruvate were tested to optimize recovery of desiccated cells. Nonselective media showed better recovery when TSAYE and Columbia agar contained 0.1% (wt/vol) pyruvate and were incubated aerobically. These two culture methods were equally effective (P > 0.05) for recovering desiccated L. monocytogenes cells.     

Vitamin D and Death by Sunshine

Exposure to sunlight is the major cause of skin cancer. Ultraviolet radiation (UV) from the sun causes damage to DNA by direct absorption and can cause skin cell death. UV also causes production of reactive oxygen species that may interact with DNA to indirectly cause oxidative DNA damage. UV increases accumulation of p53 in skin cells, which upregulates repair genes but promotes death of irreparably damaged cells. A benefit of sunlight is vitamin D, which is formed following exposure of 7-dehydrocholesterol in skin cells to UV. The relatively inert vitamin D is metabolized to various biologically active compounds, including 1,25-dihydroxyvitamin D3. Therapeutic use of vitamin D compounds has proven beneficial in several cancer types, but more recently these compounds have been shown to prevent UV-induced cell death and DNA damage in human skin cells. Here, we discuss the effects of vitamin D compounds in skin cells that have been exposed to UV. Specifically, we examine the various signaling pathways involved in the vitamin D-induced protection of skin cells from UV.